Academic literature on the topic 'Soybean maturity'

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Journal articles on the topic "Soybean maturity"

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Park, Myoung Ryoul, Inhye Lee, Min-Jung Seo, and Hong-Tae Yun. "Development of High-Resolution Simple Sequence Repeat Markers through Expression Profiling of Genes Associated with Pod Maturity of Soybean." Applied Sciences 10, no. 18 (September 12, 2020): 6363. http://dx.doi.org/10.3390/app10186363.

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In soybeans (Glycine max L.), the time required to attain maturity is a quantitative trait controlled by multiple genes and quantitative trait loci (QTL), which enable soybean cultivars to adapt to various regions with diverse day lengths. In this study, depending on the days to maturity, 100 soybean varieties were classified into eight maturity groups numbered from 0 to VII. The maturity groups were further sorted into three maturity ecotypes: early, middle, and late maturity. The analysis of 55,589 soybean genes revealed a total of 1147 related to the growth and development of soybean pods, including 211 genes with simple sequence repeats (SSRs). We further identified 42 SSR markers that amplified over two alleles in three different ecotypes, including six genes that were up- or downregulated in pods of more than one ecotype. The agglomerative hierarchical tree constructed for the newly identified SSR markers had three clusters. Clusters B-I, B-II, and B-III were found to be strongly related with the early, middle, and late maturity ecotypes, respectively. Therefore, the newly identified set of SSR markers can serve as an effective high-resolution tool for the genotyping and QTL mapping of soybean pod maturity.
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Bundy, C. Scott, and R. M. McPherson. "Cropping Preferences of Common Lepidopteran Pests in a Cotton/Soybean Cropping System." Journal of Entomological Science 42, no. 1 (January 1, 2007): 105–18. http://dx.doi.org/10.18474/0749-8004-42.1.105.

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Two soybean varieties (an early-maturing Group V and a later-maturing Group VII) and two cotton varieties (a conventional and a transgenic Bacillus thuringiensis Berliner [Bt]) were grown in adjacent replicated large field plots at two locations for 3 growing seasons. The abundance of commonly-observed lepidopteran pests within these two crops was observed weekly throughout each growing season. The green cloverworm, Hypena scabra (F.); soybean looper, Pseudoplusia includens (Walker), and; velvetbean caterpillar, Anticarsia gemmatalis Hübner, preferred soybeans over cotton at all six test sites. The bollworm complex, Helicoverpa zea (Boddie) and Heliothis virescens (F.), preferred soybeans at one site, cotton at two sites, and no crop preference at three sites. There was no difference in the seasonal mean abundance of the pests between the two soybean maturity groups. A few varietal differences were noted on soybeans on specific sampling dates; however, they occurred when insect numbers were low. Population densities approached economic injury levels on both the early and later-maturing soybean varieties. In cotton, the bollworm complex was significantly more abundant in conventional cotton than in Bt cotton. Although soybean loopers are a pest of both crops, soybeans are preferred when they are planted adjacent to cotton. Given this behavioral response, soybeans might serve as a trap crop to attract soybean loopers into a small planting of soybeans and out of the major planting of cotton.
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PARK, S. J., and N. R. BRADNER. "KG 30 SOYBEAN." Canadian Journal of Plant Science 68, no. 1 (January 1, 1988): 215–16. http://dx.doi.org/10.4141/cjps88-023.

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KG 30 is an early-maturing, high-yielding soybean (Glycine max (L.) Merr.) cultivar which has similar maturity and is 4–5% higher in seed yield than its two parents Maple Arrow and McCall. Its main advantage is its yield performance as an early-maturing cultivar.Key words: Glycine max (L.) Merr., soybean, cultivar description
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BRADNER, N. R., R. D. SIMPSON, and A. A. HADLOCK. "KG 40 SOYBEAN." Canadian Journal of Plant Science 68, no. 4 (October 1, 1988): 1133–34. http://dx.doi.org/10.4141/cjps88-136.

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KG 40 is an early-maturing soybean (Glycine max) cultivar which has similar maturity and 4% higher yield than the cultivar Maple Arrow. Its main advantage is its yield performance and a high degree of phytophthora tolerance.Key words: Glycine max, soybean cultivar
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PARK, S. J., N. R. BRADNER, and F. SCOTT-PEARSE. "KG 20 SOYBEAN." Canadian Journal of Plant Science 68, no. 1 (January 1, 1988): 211–13. http://dx.doi.org/10.4141/cjps88-022.

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KG 20 is an early-maturing, high-yielding soybean (Glycine max (L.) Merr.) cultivar with similar maturity and higher yield than Maple Amber and Baron in the western, central and maritime regions in Canada. It is about 8 d later than Maple Presto and outyields it by 33% in western Canada and by 27% in Ontario. The main advantage of KG 20 is its yield performance as an early-maturing cultivar.Key words: Glycine max (L.) Merr., soybean, cultivar description
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Gebregziabher, Berhane Sibhatu, Shengrui Zhang, Suprio Ghosh, Abdulwahab S. Shaibu, Muhammad Azam, Ahmed M. Abdelghany, Jie Qi, et al. "Origin, Maturity Group and Seed Coat Color Influence Carotenoid and Chlorophyll Concentrations in Soybean Seeds." Plants 11, no. 7 (March 23, 2022): 848. http://dx.doi.org/10.3390/plants11070848.

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Soybean (Glycine max (L.) Merrill) seeds are abundant in physiologically active metabolites, including carotenoids and chlorophylls, and are used as an affordable source of functional foods that promote and maintain human health. The distribution and variation of soybean seed metabolites are influenced by plant genetic characteristics and environmental factors. Here, we investigated the effects of germplasm origin, genotype, seed coat color and maturity group (MG) on the concentration variation of carotenoid and chlorophyll components in 408 soybean germplasm accessions collected from China, Japan, the USA and Russia. The results showed that genotype, germplasm origin, seed color, and MG were significant variation sources of carotenoid and chlorophyll contents in soybean seeds. The total carotenoids showed about a 25-fold variation among the soybean germplasms, with an overall mean of 12.04 µg g−1. Russian soybeans yielded 1.3-fold higher total carotenoids compared with Chinese and Japanese soybeans. Similarly, the total chlorophylls were substantially increased in Russian soybeans compared to the others. Soybeans with black seed coat color contained abundant concentrations of carotenoids, with mainly lutein (19.98 µg g−1), β-carotene (0.64 µg g−1) and total carotenoids (21.04 µg g−1). Concentrations of lutein, total carotenoids and chlorophylls generally decreased in late MG soybeans. Overall, our results demonstrate that soybean is an excellent dietary source of carotenoids, which strongly depend on genetic factors, germplasm origin, MG and seed coat color. Thus, this study suggests that soybean breeders should consider these factors along with environmental factors in developing carotenoid-rich cultivars and related functional food resources.
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Rose, IA, KS McWhirter, and RA Spurway. "Identification of drought tolerance in early-maturing indeterminate soybeans (Glycine max (L.) Merr.)." Australian Journal of Agricultural Research 43, no. 3 (1992): 645. http://dx.doi.org/10.1071/ar9920645.

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Drought escape through earliness is a potential strategy for the expansion of soybean (Glycine max (L.) Merr.) production into marginal rainfall areas that has not been fully evaluated. In this study, early-maturing (Maturity Groups II to IV), indeterminate inbred lines of soybeans were developed from six single cross populations and evaluated under naturally occurring terminal drought stress at a latitude normally associated with maturity adaptation corresponding to Groups V to VII. Parallel evaluation under a high yield irrigation regime provided the basis for evaluation of genotypic response to moisture stress. All lines were early enough to exhibit drought escape, but there was an additional response in some genotypes. While all genotypes showed premature senescence under drought stress some genotypes, in the WilliamsxCalland population, continued growth for significantly longer than the parents or the population average under the terminal drought stress. A stress index for maturity was devised to describe the degree of premature senescence, and this index was shown to be a heritable trait not correlated with maturity per se. It is concluded that these lines represent a previously unreported source of tolerance to drought stress and, when used in conjunction with early maturity drought escape, they provide an additional trait for improving soybean tolerance to moisture stress.
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Sedivy, Eric J., Abraham Akpertey, Angela Vela, Sandra Abadir, Awais Khan, and Yoshie Hanzawa. "Identification of Non-Pleiotropic Loci in Flowering and Maturity Control in Soybean." Agronomy 10, no. 8 (August 17, 2020): 1204. http://dx.doi.org/10.3390/agronomy10081204.

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Pleiotropy is considered to have a significant impact on multi-trait evolution, but its roles in the evolution of domestication-related traits in crop species have been unclear. In soybean, several known quantitative trait loci (QTL) controlling maturity, called the maturity loci, are known to have major effects on both flowering and maturity in a highly correlated pleiotropic manner. Aiming at the identification of non-pleiotropic QTLs that independently control flowering and maturity and dissecting the effects of pleiotropy in these important agronomic traits, we conducted a QTL mapping experiment by creating a population from a cross between domesticated soybean G. max and its wild ancestor G. soja that underwent stringent selection for non-pleiotropy in flowering and maturity. Our QTL mapping analyses using the experimental population revealed novel loci that acted in a non-pleiotropic manner: R1-1 controlled primarily flowering and R8-1 and R8-2 controlled maturity, while R1-1 overlapped with QTL, affecting other agronomic traits. Our results suggest that pleiotropy in flowering and maturity can be genetically separated, while artificial selection during soybean domestication and diversification may have favored pleiotropic loci such as E loci that control both flowering and maturity. The non-pleiotropic loci identified in this study will help to identify valuable novel genes to optimize soybean’s life history traits and to improve soybean’s yield potential under diverse environments and cultivation schemes.
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Tasma, I. Made, Dani Satyawan, Ahmad Warsun, Muhamad Yunus, and Budi Santosa. "Phylogenetic and Maturity Analyses of Sixty Soybean Genotypes Used for DNA Marker Development of Early Maturity Quantitative Trait Loci in Soybean." Jurnal AgroBiogen 7, no. 1 (April 1, 2011): 37. http://dx.doi.org/10.21082/jbio.v7n1.2011.p37-46.

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<p>Phylogenetic and Maturity Analyses of Sixty Soybean<br />Genotypes Used for DNA Marker Development of Early<br />Maturity Quantitative Trait Loci in Soybean. I Made<br />Tasma, Dani Satyawan, Ahmad Warsun, Muhamad<br />Yunus, and Budi Santosa. The Indonesian soybean<br />productivity is still very low with the national average of 1.3<br />t/ha. One means to improve national soybean productivity is<br />by manipulating harvest index by cultivating very early<br />maturing soybean cultivars. Development of early maturing<br />soybean cultivars can be expedited by using marker-aided<br />selection. The objective of this study was to select parental<br />lines having contrasted maturity traits and selected parents<br />must be genetically distance. The parents then were used to<br />develop F2 populations for detecting early maturity QTL in<br />soybean. Maturity tests of 60 soybean genotypes were<br />conducted at two locations, Cikeumeuh (Bogor) and Pacet<br />(Cianjur) using a randomized block design with three<br />replications. Genomic DNA of the 60 genotypes were<br />analyzed using 18 SSR markers and genetic relationship was<br />constructed using the Unweighted Pair-Group Method<br />Arithmatic through Numerical Taxonomy and Multivariate<br />System program version 2.1-pc. Results showed that the 60<br />genotypes demonstrated normal distribution in both<br />locations for days to R1 (32-48d), days to R3 (35-55d), days to<br />R7 (75-92d), and days to R8 (78-99d). Four early maturing<br />genotypes and three late genotypes were obtained. Total<br />SSR alleles observed were 237 with average allele per locus<br />of 12.6 (3-29), and average PIC value of 0.78 (0.55-0.89).<br />Genetic similarity among genotypes ranges from 74.8-95%.<br />At similarity level 77% divided the genotypes into six clusters<br />(the four selected early maturing genotypes located in<br />clusters III and IV, while the three late genotypes located in<br />cluster II). Based on maturity data, pubescent color, and<br />phygenetic analysis seven parents were selected (four early<br />maturing genotypes B1430, B2973, B3611, B4433 and three<br />late genotypes B1635, B1658, and B3570). Twelve F2<br />populations were developed with the aid of SSR markers<br />Satt300 dan Satt516. Two of the populations will be used to<br />develop DNA markers for earliness in soybean.</p>
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Rhainds, Marc, Michèle Roy, Gaétan Daigle, and Jacques Brodeur. "Toward management guidelines for the soybean aphid in Quebec. I. Feeding damage in relationship to seasonality of infestation and incidence of native predators." Canadian Entomologist 139, no. 5 (October 2007): 728–41. http://dx.doi.org/10.4039/n06-095.

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AbstractA study was conducted in 2004 and 2005 to test the hypotheses that the severity of damage caused by the soybean aphid, Aphis glycines (Hemiptera: Aphididae), is minimized by the activity of predators and declines with the maturity of soybeans, Glycine max (L.) Merr. (Fabaceae), at the time of infestation. In caged subplots where predators were excluded, aphids attained a high density following experimental infestation of soybeans, resulting in severe reductions of yield, particularly when plants were infested early in the season. A guild of generalist predators consisting predominantly of ladybird beetles colonized plants in uncaged subplots, resulting in a low rate of population growth following infestation of soybeans with aphids and a relatively weak impact on the soybean yield. The soybean yield declined as the density of aphids (number per plant), and the maturity of soybeans at the time of infestation, increased. Our results suggest that A. glycines represents an occasional pest of soybean in Quebec, because of (i) temporal asynchrony between the late-season infestation by aphids and the most susceptible phenological stage of soybeans (vegetative or flowering) and (ii) biological control by natural enemies.
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Dissertations / Theses on the topic "Soybean maturity"

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Shepherd, Michelle J. "Planting Date and Relative Maturity Effects on Soybean Grain Yield." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524010217273909.

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Looker, Wayde. "Effect of Relative Maturity on Soybean Yield and Cover Crop Biomass Evaluation Methods." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1554894697089079.

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Johnson, Bryan Fisher. "Influence of Several Herbicides on Visual Injury, Leaf Area Index, and Yield of Glyphosate-Tolerant Soybean (Glycine max)." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/32295.

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The occasional failure of glyphosate to control all weeds throughout the entire growing season has prompted growers to sometimes use herbicides other than glyphosate on glyphosate-tolerant soybean. Field studies were conducted in 1999 and 2000 to investigate potential crop injury from several herbicides on glyphosate-tolerant soybean, and to determine the relationship between soybean maturity, planting date, and herbicide treatment on soybean injury, leaf area index (LAI), and yield. Three glyphosate-tolerant soybean cultivars representing maturity groups III, IV and V were planted at dates representing the full-season and double-crop soybean production systems used in Virginia. Within each cultivar and planting date, 15 herbicide treatments, in addition to a control receiving only metolachlor preemergence, were applied to cause multiple levels of crop injury. Results of this study indicate that glyphosate-tolerant soybean generally recovered from early-season herbicide injury and LAI reductions; however, reduced yield occurred with some treatments. Yield reductions were more common in double-crop soybean than in full-season soybean. In full-season soybean, most yield reductions occurred only in the early maturing RT-386 cultivar. These yield reductions may be attributed to the reduced developmental periods associated with early maturing cultivars and double-crop soybean that often lead to reduced vegetative growth and limited LAI. Additional reductions of LAI by some herbicide treatments on these soybean may have coincided with yield reductions; however, reduced LAI did not occur with all yield reducing treatments. Therefore, soybean LAI response to herbicide treatments does not always accurately indicate the potential detrimental effects of herbicides on soybean yield. Further, yield reductions associated with herbicide applications occurred, although soybean sometimes produced leaf area exceeding the critical LAI level of 3.5 to 4.0 which is the minimum LAI needed for soybean to achieve maximum yield.
Master of Science
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Johnson, Kory Lee. "Relative Maturity and Row Spacing Effect on Establishment of Interseeded Cover Crops into Soybean." Thesis, North Dakota State University, 2020. https://hdl.handle.net/10365/31797.

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Low adoption to cover crops in the northern Plains is due to limited soil water for stand establishment, short growing season, and few adapted winter-hardy species. Studies were conducted to evaluate the impact of interseeded winter camelina [Camelina sativa (L.) Crantz] and winter rye (Secale cereale L.) using different soybean relative maturities, planting date, and row spacing on cover crop biomass, canopy coverage, plant density, soybean yield, and wheat (Triticum aestivum L.) yield the following year. Early-maturing soybean cultivars, produced increased cover crop biomass and canopy coverage, with winter rye outperforming winter camelina. Row spacing showed no effect on cover crop growth, yet narrow rows produced higher soybean yield. Spring wheat is not recommended to plant following winter rye, yet there was no negative effect from winter camelina. Interseeding cover crops into soybean in the northern Plains is possible, but relative low amounts of fall cover crop biomass is produced.
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Bateman, Nicholas Ryan. "Impact of Planting Date and Maturity Group on Management Strategies for Insect Pests in Soybean." Thesis, Mississippi State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10264792.

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Soybean accounts from more than half of the acres dedicated to row crop production in the mid-south, leading to a wide planting window from late-March through mid-July. Studies were conducted in 2013 and 2014 evaluating seven planting dates of soybean, and their impact on agronomics. As planting was delayed, plant heights significantly increased, increasing the potential for lodging. Canopy closure significantly decreased as planting was delayed, leaving soybean more vulnerable to caterpillar pests. Yield potential also significantly decreased as planting was delayed. Season long surveys of insect pests and their arthropod natural enemies were conducted from 2013 to 2014 in small plot studies, and in large plot studies from 2015 to 2016 across multiple planting dates. The most common insect pests encountered in both studies were bean leaf beetles, the stink bug complex, and soybean looper. The most common natural enemies encountered were lady beetles, spiders, and the assassin bug complex. In general, insect pests densities increased as planting was delayed, whereas natural enemies were higher in earlier plantings or had no change throughout the planting windows. With the increased difficulty of controlling some caterpillar pests such as soybean looper, new control tactics need to be evaluated. A simulated Bt treatment was evaluated against a threshold, bug only, and untreated control across multiple plantings in 2013 and 2014. The simulated Bt treatment yielded significantly higher than the untreated control at plantings from early-June through mid-July. These were the only plantings that reached action threshold for soybean looper. The simulated Bt and threshold treatments were not significantly different from one another. In 2015 and 2016, a simulated Bt treatment plus threshold was evaluated in a late planting situation. The simulated Bt plus threshold treatment yielded significantly higher than the untreated control at the early-June and early-July plantings. Also in 2015 and 2016, the simulated Bt treatment was evaluated against a grower check on producer fields at 23 locations. The simulated Bt treatment resulted in significantly higher soybean yields than the grower check.

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Morrogh, Bernard Maria. "ECOPHYSIOLOGICAL ANALYSIS OF YIELD DETERMINATION IN SOYBEAN OF DIFFERENT RELATIVE MATURITIES." UKnowledge, 2018. https://uknowledge.uky.edu/pss_etds/108.

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Soybean yield differences are a combination of the genotype, environmental conditions, and management practices. Understanding how these factors interact through the analysis of the components involved in yield determination, provides a way to increase potential and actual yields in Kentucky. Two irrigated experiments were conducted to quantify differences in the mechanisms of yield determination across soybean maturity groups (MG) 2 to 5 (Chapter 1), and to quantify management options (seeding rate and choice of MG cultivar) that increase yield potential of double crop soybean systems (Chapter 2). Results showed that cultivars used different physiological strategies to achieve high yields, but these were not always consistent across the environments studied. High yields were often associated to a higher efficiency partitioning biomass to seeds that lead to a higher seed number in some cultivars, as well as associated to low seed growth rates (Chapter 1). The choice of MG cultivar had a greater impact on double-crop soybean yields than increasing seeding rates from 40 to 54 seed m-2. The higher seeding rate increased yields by 5% without an interaction with cultivar. Optimal MG choices for double-crop soybean in KY were dependent on the environment.
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Gregg, Gary L. "Inducing Stress Early and Reducing Stress Late to Increase Soybean (Glycine max) Yield." UKnowledge, 2015. http://uknowledge.uky.edu/pss_etds/65.

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Relatively little change in national soybean (Glycine max) yield over the previous years have led many farmers to creating management regimes focused on plant stress. Field experiments consisting of two different relative maturity (2.8RM and 4.5 RM) soybean cultivars were established at three locations across Kentucky in 2013 and 2014. Each maturity group received a single application, sequential applications, or a combination of the following treatments: N’N-diformyl urea, lactofen, lambda-cyhalothrin with thiamethoxam, and azoxystrobin with propiconazole. Relative maturity and yield environment*treatment interactions were observed to be significant (p 0≤.05). 4.5 RM soybean cultivars yielded significantly greater (800 kg ha-1) than 2.8 RM cultivars. Compared to the untreated check, no treatment in the yield environment*treatment interaction significantly increased yield. Significant yield decrease varied across yield environment, but was observed for treatments containing a combination of lactofen and N’N-diformyl urea. Application of stress management practices was not a consistent approach to improving soybean yield.
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Skoneczka, Jeffrey Allen. "Investigation of Putative Genetic Factors Associated with Soybean [Glycine Max (L.) Merr.] Seed Quality Traits." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/40338.

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Soybeans are an economically important plant, with an annual crop value that consistently exceeds 20 billion dollars in the United States alone. A recent increase in demand for soybeans, stemming from its diverse applications in products such as animal feed, oil, and biofuel, has created an emphasis for soybean breeders in value added cultivars. These cultivars, have improved, or altered, agronomic or seed composition traits, allowing them to be efficiently utilized in a specific niche of the processing industry. Facilitating the development of such cultivars requires a thorough understanding of the genetic factors that affect the manifestation of value added traits. Value added traits investigated in this study include seed sucrose, raffinose, stachyose, and phytate content, seed weight, and maturity. The objective of the first part of this project was to characterize the source of low seed stachyose in soybean line PI200508. Two F2 populations, developed from PI200508 and soybean introductions which exhibited higher seed stachyose content were utilized in a QTL analysis approach that incorporated the use of the Williams82 whole genome shotgun (WGS) sequence (http://www.phytozome.org) in a candidate gene mapping approach. A predicted soybean galactosyltransferase gene was established as a candidate gene due to its observed segregation with the single low stachyose QTL observed on molecular linkage group (MLG) C2 in both populations. Sequencing of this putative gene revealed a unique 3 bp deletion in PI200508. A marker developed to exploit this deletion accounted for 88% and 94% of the phenotypic variance for seed stachyose content in the two experimental populations, highlighting its potential for use in marker assisted selection of the PI200508 source of low raffinose and stachyose. The second part of this project involved QTL analysis of seed sucrose, raffinose, stachyose, and phytate content, as well as seed weight in a linkage map for a F8 RIL population developed from the Glycine max line V71-370 and the Glycine soja introduction PI40712. Analysis across all 20 soybean MLG identified 25 QTL for these traits on MLG A1, A2, C2, D1b, D2, F, G, H, I, L, M, O. Nine of these QTL were supported across multiple environments, indicating that they, and their associated markers, could be useful to breeders working with these traits. The third part of this project used the same F8 RIL linkage map to investigate time to maturity (Reproductive stage R8). V71-370 and PI407162 differ in time to maturity when grown in Virginia, and the RILs developed from this cross displayed a wide range in maturity. Two major QTL were identified on MLG H and L. Examination of the Williams82 WGS sequence in these QTL regions revealed two predicted genes with homology to Arabidopsis thaliana light response and photoperiodism genes which were investigated as candidate soybean maturity genes. Markers developed from these predicted genes showed close association with the observed QTL, and could facilitate the further investigation of this complex trait.
Ph. D.
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Sweep, Ethan. "Seeding Date, Maturity Rating, and Location Influence on Soybean (Glycine max L. (Merr.)) Performance and Phenology in Eastern North Dakota." Thesis, North Dakota State University, 2017. https://hdl.handle.net/10365/28373.

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In North Dakota, soybean is typically planted in mid to late May; however, a late spring frost or flooding event may cause a grower to plant late, or replant their crop. The objective of this research was to determine the influence of seeding date, cultivar maturity rating (CMR), and environment on the growth and development of soybean. Six seeding dates were established from 23 May to 9 July using soybean CMR of 00.9, 0.7, and 1.4 at Carrington, Prosper, and Lisbon, ND. The experimental design was a randomized complete block with a 6x3 factorial. The interaction of date by CMR indicated that yield decreased as seeding was delayed further into the growing season with yields becoming less than economical in soybean seeded after 22 June. Soybean with CMR of 00.9 and 0.7 are best suited for delayed seeding in North Dakota, while CMR 1.4 rapidly loses yield with delayed seeding.
North Dakota Soybean Council
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Smith, Kelsey. "Identifying Frogeye Leaf Spot Resistance in Two Elite Soybean Populations and Analysis of Agronomic Traits in Resistant Lines." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2843.

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Soybeans (Glycine max L.) are an important crop globally for its food, feed, and oilpurposes. It is impacted by many diseases, including Cercospora sojina, the causal agent of Frogeye Leaf Spot (FLS). Chemical and cultural controls to this fungal pathogen are insufficient, so genetic resistance must be acquired for adequate control. To this end, two recombinant inbred populations were screened in a greenhouse setting for their relative resistance to FLS, and their genomes were analyzed for contributing quantitative trait loci (QTL). In the Essex ́ Forrest population, one QTL was discovered on chromosome 13, and in the Forrest ́ Williams 82 population, two QTL were identified on chromosomes 6 and 11, respectively. These populations were then also screened in a field setting for agronomic traits. These traits were analyzed to detect one superior line for both FLS resistance and advanced agronomic traits, F ́W 125. This line should be used in future breeding projects to increase FLS resistance and reduce linkage drag for other desired characteristics.
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Books on the topic "Soybean maturity"

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Hill, J. L. Evaluation of the USDA soybean germplasm collection: Maturity groups 000-IV (PI 578371-PI 612761). [Washington, D.C.]: U.S. Dept. of Agriculture, Agricultural Research Service, 2008.

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K, Peregrine E., and United States. Agricultural Research Service., eds. Evaluation of the USDA soybean germplasm collection: Maturity group V (FC 30265-PI 612614) and maturity groups VI-VIII (PI 416758-PI 606432B). [Washington, D.C.]: U.S. Dept. of Agriculture, Agricultural Research Service, 2008.

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L, Hill J., and United States. Agricultural Research Service, eds. Evaluation of the USDA soybean germplasm collection: Maturity groups VI--VIII (FC 03.659--PI 567.235B). [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 2001.

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L, Hill J., and United States. Agricultural Research Service., eds. Evaluation of the USDA soybean germplasm collection: Maturity groups VI--VIII (FC 03.659--PI 567.235B). [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 2001.

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Evaluation of the USDA soybean germplasm collection: Maturity groups 000--IV (FC 01.547--PI 266.807). [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 1998.

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L, Bernard Richard, and United States. Agricultural Research Service., eds. Evaluation of the USDA soybean germplasm collection: Maturity groups 000--IV (FC 01.547--PI 266.807). [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 1998.

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L, Bernard Richard, and United States. Agricultural Research Service., eds. Evaluation of the USDA soybean germplasm collection: Maturity groups 000--IV (FC 01.547--PI 266.807). [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 1998.

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L, Hill J., and United States. Agricultural Research Service., eds. Evaluation of the USDA soybean germplasm collection: Maturity groups VI--VIII (FC 03.659--PI 567.235B). [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 2001.

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L, Nelson Randall, and United States. Agricultural Research Service., eds. Evaluation of the USDA Soybean Germplasm Collection: Maturity groups 000 to IV (PI 273.483 to PI 427.107). [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 1987.

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L, Nelson Randall, and United States. Agricultural Research Service., eds. Evaluation of the USDA Soybean Germplasm Collection: Maturity groups 000 to IV (PI 273.483 to PI 427.107). [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 1987.

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Book chapters on the topic "Soybean maturity"

1

Muchlish Adie, M., and Ayda Krisnawati. "Clustering of High-Yielding and Early-Maturing Soybean Genotypes." In ICoSI 2014, 13–19. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-287-661-4_2.

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Sudarić, Aleksandra, Maja Matoša Kočar, Tomislav Duvnjak, Zvonimir Zdunić, and Antonela Markulj Kulundžić. "Improving Seed Quality of Soybean Suitable for Growing in Europe." In Soybean for Human Consumption and Animal Feed. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.89922.

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The potential of soybean for food, feed, and pharmaceutical industry arises from the composition of its seed. Since European countries import 95% of the annual demand for soybean grains, meal, and oil, causing an enormous trade deficit, the governments in Europe had started to introduce additional incentives to stimulate soybean cropping. To rebalance the sources of soybean supply in the future, production must be followed by continuous research to create varieties that would make European soybean more appealing to the processing industry and profitable enough to satisfy European farmers. This chapter is giving an overview of the European soybean seed quality research and an insight into soybean seed quality progress made at the Agricultural Institute Osijek, Croatia. The studies presented are mainly considering maturity groups suitable for growing in almost all European regions. The most important traits of soybean seed quality discussed are protein content and amino acid composition, oil content and fatty acid composition, soluble sugars, and isoflavones. Defining quality traits facilitates the parental selection in breeding programs aiming to improve the added value properties of final soybean products and enables the exchange of materials between different breeding and research institutions to introduce diversity, which is a prerequisite for genetic advance.
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Ayan, Alp, Sinan Meriç, Tamer Gümüş, and Çimen Atak. "Current Strategies and Future of Mutation Breeding in Soybean Improvement." In Soybean - Recent Advances in Research and Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104796.

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Soybean, which has many foods, feed, and industrial raw material products, has relatively limited genetic diversity due to the domestication practices which mainly focused on higher yield for many centuries. Besides, cleistogamy in soybean plant reduces genetic variations even further. Improving genetic variation in soybean is crucial for breeding applications to improve traits such as higher yield, early maturity, herbicide, and pest resistance, lodging and shattering resistance, seed quality and composition, abiotic stress tolerance and more. In the 21st century, there are numerous alternatives from conventional breeding to biotechnological approaches. Among these, mutation breeding is still a major method to produce new alleles and desired traits within the crop genomes. Physical and chemical mutagen protocols are still improving and mutation breeding proves its value to be fast, flexible, and viable in crop sciences. In the verge of revolutionary genome editing era, induced mutagenesis passed important cross-roads successfully with the help of emerging supportive NGS based-methods and non-destructive screening approaches that reduce the time-consuming labor-intensive selection practices of mutation breeding. Induced mutagenesis will retain its place in crop science in the next decades, especially for plants such as soybean for which cross breeding is limited or not applicable.
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Harada, Kyuya, Satoshi Watanabe, Xia Zhengjun, Yasutaka Tsubokura, Naoki Yamanaka, and Toyoaki Anai. "Positional Cloning of the Responsible Genes for Maturity Loci E1, E2 and E3 in Soybean." In Soybean - Genetics and Novel Techniques for Yield Enhancement. InTech, 2011. http://dx.doi.org/10.5772/21085.

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Pantsyreva, Hanna, and Kateryna Mazur. "RESEARCH OF EARLY RATING SOYBEAN VARIETIES ON TECHNOLOGY AND AGROECOLOGICAL RESISTANCE." In Theoretical and practical aspects of the development of modern scientific research. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-195-4-18.

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The monograph presents scientific and experimental research that reveals the theoretical and practical issues of production of soybean that can solve the problem of protein deficiency and replenish the world’s food and feed resources. The research is based on the tasks of applied research on the topic: «Development of methods for improving the technology of growing legumes using biofertilizers, bacterial preparations, foliar fertilizers and physiologically active substances», state registration number 0120U102034. The authors’ research is aimed at solving current problems of technological renewal and development of the agro-industrial complex of Ukraine. During the study it was found that the duration of the growing season precocious and ultra-early soybean varieties develop within 83-85 days. Thus, as of 2021, 17 precocious and ultra-precocious soybean varieties have been included in the State Register of Plant Varieties of Ukraine. Most of these varieties have a growing season of 85 days and only varieties of Dion – 83 days and Arnica – 84 days. It is determined that the height of plants of early-maturing soybean varieties varies widely – 58-110 cm. It is proved that the height of attachment of lower beans in precocious soybean varieties is 10-16 cm from the soil surface. The lowest beans are the highest attached in the soybean varieties of OAC Brook – 16 cm, Rohiznyanka – 15 cm, Kobza and OAC Avatar – 14 cm each. The highest resistance to lodging, which determines the completeness of mowing and selection of soybean stem mass, had plants varieties Aventurine, OAC Lakeview, Geba and Berkana – 9.0 points, OAC Avatar, Rogiznyanka, Golubka – 8.9 points.All precocious varieties of soybeans are characterized by high resistance to seed shedding – 7.0-9.0 points. The most drought-resistant varieties are OAC Lakeview, Geba, Berkan – 9.0 points each. The most resistant to diseases are soybean varieties Aventurine, Kobza, Diona, Arrat, Rogiznyanka, Arnica – 9.0 points each.The seed yield of precocious soybean varieties is 2.00-3.25 t/ha. The highest yields were Dion – 3.25 t/ha, Arrata – 3.0 t/ha. The least productive varieties are Rohiznyanka – 2.00 t/ha, OAC Brook – 2.03 t/ha, Kobza – 2.14 t/ha.Soybean varieties had the highest protein content in seeds: Berkana – 43.4%, Rainbow – 42.3%, Dove and Melody – 42.1% each. The lowest protein content was in the varieties Arrata – 38.0%, Legend, Diona – 38.5%, Kobza – 39.1%.The fat content in the seeds of Geba soybean varieties – 22.0%, OAC Lakeview – 21.7% and Golubka – 21.6% was the highest, and in the varieties Beauty – 19.3%, Arnica – 20.5% and Melody – 20.6% – the smallest.
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Biliavska, Liudmyla, and Yurii Biliavskyi. "BREEDING OF DROUGHT-RESISTANT SOYBEAN VARIETIES UNDER CLIMATE CHANGE." In European vector of development of the modern scientific researches. Publishing House “Baltija Publishing”, 2021. http://dx.doi.org/10.30525/978-9934-26-077-3-25.

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Thus, the primary task of breeding is to create varieties that combine high yield with drought resistance. It is important to have a sufficiently high level of adaptability of the variety to the conditions of the growing region, where the variety remains the main reserve for resource conservation and intensification of agricultural production in Ukraine. Generally accepted methods are used, namely scientific, special, laboratory, mathematical and statistical. In conditions of insufficient moisture, the use of early maturing and very early maturing varieties is relevant. Indicators of soybean yield in all oblasts of Ukraine are provided. According to the results of the analysis of 17-year meteorological observations, it was found that the climatic characteristics of Poltava oblast became more arid. The dynamics of indicators of the soybean gross yield in Poltava oblast (2002–2018) is analyzed against the background of the amount of precipitation during the growing season (4–8 months). In the research laboratory of Breeding, Seed Production and Varietal Soybean Agrotechnics of Poltava State Agrarian University, it was created Almaz, Antratsyt, Adamos, Aleksandryt, Akvamaryn, Avantiuryn soybean varieties, which were listed the State Register of Plant Varieties Suitable for Spreading in Ukraine. Indicators of agricultural suitability of these varieties and their advantages are presented. Varieties of Poltava breeding are distinguished by drought resistance, resistance to diseases and pests, non-lodging, when the seeds mature, the beans do not crack. These varieties are guaranteed predecessors for winter crops in the Steppe and Forest-Steppe of Ukraine.
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Archana, Preetam Verma, and Nalini Pandey. "Impact of Inadequate Concentration of Boron in Seed Storage Proteins Content in Oilseed Crops." In Grain and Seed Proteins Functionality. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95873.

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For the estimation of Impact of inadequate concentration of boron in seed storage proteins content in oilseed crops, a sand culture experiment was designed and all the three crops i.e. soyabean, mustard and linseed were grown under sufficient and insufficient boron treatment till maturity. Seed germination and seed storage protein concentration was determined in seeds after the harvesting of crops. Earlier oilseed crops like soyabean, mustard and linseed are cultivated for oil production but at this time these crops are reliable source of protein also and are real asset for human dietary protein. The storage protein present in seeds varies from ~10% (in cereals) to 40% (in certain legumes and oilseeds) of dry weight. Seeds contain one or more groups of proteins that are present in high amounts and that serve to provide a store of amino acids and sulfur required during germination and seedling growth. Quality of seeds is driven by the total protein content present in the form of storage reserve in seeds. There are major four types of storage proteins known as- globulins (insoluble in water), albumins (soluble in water), prolamins (soluble in alcohol) and glutelins (soluble in dilute acid and alkaline medium). Globulins and albumins are the major storage seed proteins of legumes and oilseed crops whereas prolamins and glutelins are mostly found in cereal seeds. Functionally boron is crucial micronutrient for a considerable amount of agricultural yield. Seed reserves (proteins, carbohydrates, starch, lipids) of post harvested seeds are depended on the appropriate boron supply during cropping. Boron insufficiency in oilseed crops found to be an inhibitory factor for seed vigor and seed quality. So this chapter deals with the effect of boron deprivation on seed quality in terms of germination capacity and seed storage protein reserves in the post harvested seeds of soybean, mustard and linseed.
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Бахмат, Олег, and Інна Федорук. "Influence of combination of inoculation process, application of microfertilizers and insecticidal-fungicidal preparation on the technology of growing soybean varieties for different groups of maturity in the Forest-Steppe of the West." In Science of the XXI century: challenges and prospects. V. 2. Natural sciences, 97–108. PE Osadtsa Yu.V., 2021. http://dx.doi.org/10.37406/sxxicp.2021.v2.97.

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Conference papers on the topic "Soybean maturity"

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Nguyen, Henry, Ali Md Alikat, Dongho Lee, and Haiying Shi. "Developing High Yielding Soybean Varieties with Desirable Carbohydrate Fraction for Enhancing Nutrition." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/equd9211.

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Soybean is the major seed oil and protein crop in the global market. The majority of soybean protein meal in the U.S. is used for feeding poultry and pigs. Raffinose family of oligosaccharides (RFOs) in soybean meal reduce feeding efficiency due to their anti-digestibility in monogastric animals. Current commodity soybeans do not have desirable carbohydrate fraction; thus, the development of new and improved varieties with reduced RFOs and increased sucrose is of great interest and adds value to the swine, poultry, and aquaculture industries. This presentation will summarize current progress in soybean breeding and the discovery of novel genetic resources which provide a great opportunity for improving the carbohydrate composition of US soybeans in all major maturity groups.
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Puspitasari, Winda, Arwin, and Yuliasti. "Agronomic characters of early maturity soybean mutant lines." In PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NUCLEAR SCIENCE, TECHNOLOGY, AND APPLICATION 2020 (ICONSTA 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0066925.

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Narayanan, Balaji, Brice Floyd, Kevin Tu, Landon Ries, and Neil Hausmann. "Improving soybean breeding using UAS measurements of physiological maturity." In Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, edited by J. Alex Thomasson, Mac McKee, and Robert J. Moorhead. SPIE, 2019. http://dx.doi.org/10.1117/12.2519072.

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Wu, J. J., Q. L. Liu, J. S. Wang, L. J. Liu, and W. G. Lin. "Effect of phosphorus treatment on agronomic traits of soybean genotypes with different phosphorus efficiency during soybean maturity period." In International Conference on Environmental Science and Biological Engineering. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/esbe140341.

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Singer, William, Bo Zhang, Dajun Yu, David Holshouser, Haibo Huang, Keren Brooks, Maria Rosso, and Mark Reiter. "Evaluating Breeding and Management Solutions for Methionine Content in Soybean." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/qvdx5082.

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Soybean is widely recognized as a valuable crop and plant protein source due to its ideal amino acid profile. However, deficient methionine content in soybean seeds limits the nutritional utility. Therefore, a genome-wide association study (GWAS) utilizing 311 soybean accessions from maturity groups IV and V was performed alongside genomic prediction models to determine genetic underpinnings and breeding potential. Additionally, sulfur fertilization source and rate were evaluated for their impact on methionine content in soybean seeds. Across four environments, 23 novel single nucleotide polymorphisms (SNPs) were identified as being associated with methionine content, and average prediction accuracy (r2) ranged from 0.03 to 0.62 for genomic prediction models. Across six locations, soybean plots treated with ammonium sulfate (AMS) exhibited statistically increased methionine content when compared to other sulfur fertilizers. When combined, these results highlight the complex genetic and environmental controls for methionine content in soybean seeds and will positively contribute to protein quality improvement in soybean.
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Zhou, Jing, Dennis C. Yungbluth, Chin Nee Vong, Andrew M. Scaboo, and Jianfeng Zhou. "<i>Estimation of maturity date of soybean breeding lines using UAV-based imagery</i>." In 2019 Boston, Massachusetts July 7- July 10, 2019. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2019. http://dx.doi.org/10.13031/aim.201900427.

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Belyshkina, M. Е., and E. V. Gureyeva. "Influence of limiting factors of the growing season on the yield of early-maturing soybean varieties." In Растениеводство и луговодство. Тимирязевская сельскохозяйственная академия, 2020. http://dx.doi.org/10.26897/978-5-9675-1762-4-2020-142.

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Soybean has an ecological adaptability due to the deep selectivity of this crop in relation to the specific features of the growing zone. At the same time, it makes increased demands on heat and moisture, especially during certain "critical" periods of growth and development. The lower threshold of active average daily temperatures is 15–17oC, and for full maturation of ultra-ripe and early-maturing varieties, the sum of active temperatures of 1700–2100oС is required. Assessment of the agro-climatic resources of the Ryazan region indicates the possibility of growing precocious soybean varieties here. The limiting indicator in some critical periods may be insufficient moisture. As a result of the conducted research, it was found that soybean varieties of the Northern ecotype are able to form a stable yield in the conditions of the Ryazan region. At the same time, the lesser response to changes in agroclimatic conditions was shown by the Kasatka variety, which showed the shortest growing season and yield at the level of 1.00 t / ha. The Georgiya variety reacted more than any other to changes in weather conditions, its yield was from 1.24 to 1.72 t/ha over the years of research.
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Sikharulidze, T. D., and A. S. Stefansky. "The influence of climatic factors on the duration of the growing season and the yield of early maturing soybean varieties in the Central Region of the Non-Black Earth Zon." In Agrobiotechnology-2021. Publishing house RGAU-MSHA, 2021. http://dx.doi.org/10.26897/978-5-9675-1855-3-2021-80.

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The duration of the growing season of soybean varieties increased against the background of excessive precipitation and low air temperature. The smallest it was in the varieties Kasatka and Svetlaya (on average 100 and 102 days). The most productive is the Svetlaya variety - the average yield is 1.73 t / ha, the maximum - 2.76 t / ha.
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Reports on the topic "Soybean maturity"

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Licht, Mark, and Josh Sievers. Soybean Date of Planting and Maturity. Ames: Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/farmprogressreports-180814-1462.

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Licht, Mark, and Chad Huffman. Soybean Date of Planting and Maturity. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1692.

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Licht, Mark A., and Zack Koopman. Soybean Date of Planting and Maturity. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1742.

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Licht, Mark A., and Dan Schaben. Soybean Date of Planting and Maturity in Southwest Iowa. Ames: Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/farmprogressreports-180814-1444.

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Licht, Mark, and Ken Pecinovsky. Soybean Date of Planting and Maturity in Northeast Iowa. Ames: Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/farmprogressreports-180814-1466.

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Licht, Mark, and Matt Schnabel. Soybean Date of Planting and Maturity in Northern Iowa. Ames: Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/farmprogressreports-180814-1479.

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Licht, Mark, and Dan Schaben. Soybean Date of Planting and Maturity in Southwest Iowa. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1590.

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Licht, Mark, and Ken Pecinovsky. Soybean Date of Planting and Maturity in Northeast Iowa. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1646.

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Licht, Mark, and Matt Schnabel. Soybean Date of Planting and Maturity in Northern Iowa. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1668.

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Licht, Mark, and Myron Rees. Soybean Date of Planting and Maturity in Southeast Iowa. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1713.

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