Academic literature on the topic 'Estimated breeding value (EBV)'
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Journal articles on the topic "Estimated breeding value (EBV)"
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Hanusová, L., A. Míková, L. Večerek, D. Schroeffelová, V. Řehout, L. Tothová, K. Vernerová, B. Hosnedlová, and J. Čítek. "Effect of DGAT1 polymorphisms on the estimated breeding values of Czech Simmental sires." Czech Journal of Animal Science 59, No. 8 (August 26, 2014): 365–73. http://dx.doi.org/10.17221/7587-cjas.
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The aim was to evaluate the effect of polymorphisms in the promoter and in the coding region of the DGAT1 gene on the estimated breeding values (EBV) of Czech Simmental sires. The K232A polymorphism (n = 191) in the coding region was genotyped by PCR/RFLP, and the KU and SA polymorphisms in the promoter (n = 203) were identified in an automatic sequencer. In the K232A polymorphism, the frequency of the genotype AA (Alanine) was greater than that of the genotype KA, the homozygous genotype KK (Lysine) was not found. Similarly, the allele A predominated over the K allele (0.945 and 0.055). The EBV for milk performance have been assigned to the genotypes, and the associations quantified. For the AA genotype and A allele, positive association with EBV of milk yield and protein yield was found, and negative association with the breeding values of fat percentage and yield, and protein percentage, but only the value of fat content was found to be significant. The positive non-significant association of the A variant with the protein yield was caused by the high milk yield. In the KU polymorphism, the CC genotype was associated significantly with lower EBV for the fat percentage, both the C allele and the CC genotype were associated with higher EBV for milk yield, so both the fat and the protein yield were non-significantly increased. For the diplotypes K232A/KU, there was a significant association with the fat percentage. The AACC combination seemed to have some breeding potential. The K232A polymorphism explained maximum of 6.2% of EBV variability, the KU polymorphism of 4.4%, and the SA polymorphism of 4.2%. The diplotypes K232A/KU explained maximum of 7.4% of variability. The highest proportion of variability was explained for fat percentage. The results confirmed the important role of the BTA14 region in controlling milk performance.
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Karimi, Zahra, Brian Sullivan, and Mohsen Jafarikia. "45 A permutation test for validation of genomic estimated breeding values." Journal of Animal Science 98, Supplement_4 (November 3, 2020): 8–9. http://dx.doi.org/10.1093/jas/skaa278.016.
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Abstract Previous studies have shown that the accuracy of Genomic Estimated Breeding Value (GEBV) as a predictor of future performance is higher than the traditional Estimated Breeding Value (EBV). The purpose of this study was to estimate the potential advantage of selection on GEBV for litter size (LS) compared to selection on EBV in the Canadian swine dam line breeds. The study included 236 Landrace and 210 Yorkshire gilts born in 2017 which had their first farrowing after 2017. GEBV and EBV for LS were calculated with data that was available at the end of 2017 (GEBV2017 and EBV2017, respectively). De-regressed EBV for LS in July 2019 (dEBV2019) was used as an adjusted phenotype. The average dEBV2019 for the top 40% of sows based on GEBV2017 was compared to the average dEBV2019 for the top 40% of sows based on EBV2017. The standard error of the estimated difference for each breed was estimated by comparing the average dEBV2019 for repeated random samples of two sets of 40% of the gilts. In comparison to the top 40% ranked based on EBV2017, ranking based on GEBV2017 resulted in an extra 0.45 (±0.29) and 0.37 (±0.25) piglets born per litter in Landrace and Yorkshire replacement gilts, respectively. The estimated Type I errors of the GEBV2017 gain over EBV2017 were 6% and 7% in Landrace and Yorkshire, respectively. Considering selection of both replacement boars and replacement gilts using GEBV instead of EBV can translate into increased annual genetic gain of 0.3 extra piglets per litter, which would more than double the rate of gain observed from typical EBV based selection. The permutation test for validation used in this study appears effective with relatively small data sets and could be applied to other traits, other species and other prediction methods.
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Nwogwugwu, Chiemela Peter, Yeongkuk Kim, Yun Ji Chung, Sung Bong Jang, Seung Hee Roh, Sidong Kim, Jun Heon Lee, Tae Jeong Choi, and Seung-Hwan Lee. "Effect of errors in pedigree on the accuracy of estimated breeding value for carcass traits in Korean Hanwoo cattle." Asian-Australasian Journal of Animal Sciences 33, no. 7 (July 1, 2020): 1057–67. http://dx.doi.org/10.5713/ajas.19.0021.
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Objective: This study evaluated the effect of pedigree errors (PEs) on the accuracy of estimated breeding value (EBV) and genetic gain for carcass traits in Korean Hanwoo cattle.Methods: The raw data set was based on the pedigree records of Korean Hanwoo cattle. The animals’ information was obtained using Hanwoo registration records from Korean animal improvement association database. The record comprised of 46,704 animals, where the number of the sires used was 1,298 and the dams were 38,366 animals. The traits considered were carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), and marbling score (MS). Errors were introduced in the pedigree dataset through randomly assigning sires to all progenies. The error rates substituted were 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, and 80%, respectively. A simulation was performed to produce a population of 1,650 animals from the pedigree data. A restricted maximum likelihood based animal model was applied to estimate the EBV, accuracy of the EBV, expected genetic gain, variance components, and heritability (h2) estimates for carcass traits. Correlation of the simulated data under PEs was also estimated using Pearson’s method.Results: The results showed that the carcass traits per slaughter year were not consistent. The average CWT, EMA, BFT, and MS were 342.60 kg, 78.76 cm<sup>2, 8.63 mm, and 3.31, respectively. When errors were introduced in the pedigree, the accuracy of EBV, genetic gain and h2 of carcass traits was reduced in this study. In addition, the correlation of the simulation was slightly affected under PEs.Conclusion: This study reveals the effect of PEs on the accuracy of EBV and genetic parameters for carcass traits, which provides valuable information for further study in Korean Hanwoo cattle.
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Lee, Yun-Mi, Chang-Gwon Dang, Mohammad Z. Alam, You-Sam Kim, Kwang-Hyeon Cho, Kyung-Do Park, and Jong-Joo Kim. "The effectiveness of genomic selection for milk production traits of Holstein dairy cattle." Asian-Australasian Journal of Animal Sciences 33, no. 3 (March 1, 2020): 382–89. http://dx.doi.org/10.5713/ajas.19.0546.
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Objective: This study was conducted to test the efficiency of genomic selection for milk production traits in a Korean Holstein cattle population.Methods: A total of 506,481 milk production records from 293,855 animals (2,090 heads with single nucleotide polymorphism information) were used to estimate breeding value by single step best linear unbiased prediction.Results: The heritability estimates for milk, fat, and protein yields in the first parity were 0.28, 0.26, and 0.23, respectively. As the parity increased, the heritability decreased for all milk production traits. The estimated generation intervals of sire for the production of bulls (L<sub>SB</sub>) and that for the production of cows (L<sub>SC</sub>) were 7.9 and 8.1 years, respectively, and the estimated generation intervals of dams for the production of bulls (L<sub>DB</sub>) and cows (L<sub>DC</sub>) were 4.9 and 4.2 years, respectively. In the overall data set, the reliability of genomic estimated breeding value (GEBV) increased by 9% on average over that of estimated breeding value (EBV), and increased by 7% in cows with test records, about 4% in bulls with progeny records, and 13% in heifers without test records. The difference in the reliability between GEBV and EBV was especially significant for the data from young bulls, i.e. 17% on average for milk (39% vs 22%), fat (39% vs 22%), and protein (37% vs 22%) yields, respectively. When selected for the milk yield using GEBV, the genetic gain increased about 7.1% over the gain with the EBV in the cows with test records, and by 2.9% in bulls with progeny records, while the genetic gain increased by about 24.2% in heifers without test records and by 35% in young bulls without progeny records.Conclusion: More genetic gains can be expected through the use of GEBV than EBV, and genomic selection was more effective in the selection of young bulls and heifers without test records.
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KEMP, R. A., and J. W. WILTON. "THE EFFECT OF DIFFERENT NUMERATOR RELATIONSHIP MATRICES ON BREEDING VALUES ESTIMATED FROM MULTIPLE TRAIT BLUP." Canadian Journal of Animal Science 67, no. 1 (March 1, 1987): 201–4. http://dx.doi.org/10.4141/cjas87-022.
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A numerator relationship matrix (Ac) due to sires and dams was compared with a numerator relationship matrix (Ai) due to sires and maternal grandsires in a multiple-trait-reduced animal model (MT-RAM). Best linear unbiased predictors of estimated breeding values (EBV) for 200-d weight (WW) and postweaning gain (PG) (gain from 200 to 365 d of age) were estimated from data simulating a beef cattle population. As expected, mean EBV and bias (EBV-BV) for both traits were not significantly affected by different relationship matrices. The mean variances of EBV with Ac were larger than those with Ai for both traits. The mean EBV variances were closer to mean BV variances with Ac compared to Ai, which is consistent with increased precision of EBV. Product-moment correlations of EBV and BV (accuracy of prediction) were not equal (P < 0.01) for Ac compared to Ai with WW or PG. The EBV using Ac were more accurate than EBV using Ai. The increased precision and accuracy of EBV from a MT-RAM with Ac would result in greater genetic progress in the population. Key words: Relationship matrices, estimated breeding values, MT-RAM
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Sender, G., K. G. A. Hameid, A. Korwin-Kossakowska, and M. Sobczynska. "Association of the <i>BoLA-DRB3</i> alleles with estimated breeding value for somatic cell count in Polish dairy cattle." Archives Animal Breeding 51, no. 2 (October 10, 2008): 111–19. http://dx.doi.org/10.5194/aab-51-111-2008.
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Abstract. Introducing resistance to mastitis into breeding programmes for dairy cattle seems to be one of the possible methods for limiting the increasing number of mastitis cases. Looking for candidate genes for genetic markers is one of the strategies. The BoLA–DRB3 alleles have considerable promise as potential mastitis marker. The objective of the study was to evaluate relationships between two BoLA–DRB3 alleles (BoLA–DRB3.2*16 and BoLA-DRB3.2*23) and estimated breeding value (EBV) for somatic cell count (SCC) in Polish dairy cattle. A total of 525 Polish Holstein cows in two experimental farms were evaluated for test-day SCC. The polymorphism of BoLA–DRB3 gene was identified using the MPT-PCR method. The variance components for test-day SCC were estimated by the REML method using animal model. The breeding value of SCC was calculated according to the BLUP method. Linear contrast between model-adjusted breeding values of SCC for all animals was used to test for differences between genotypes. In Polish Holstein cows population BoLA allele DRB3.2*23 was associated with increase of EBV for SCC in milk. It was observed increase of EBV for SCC from cows carrying this allele comparing to cows carrying BoLA–DRB3.2*16 (p ≤0.07) or other alleles (p ≤0.01).
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Bentley, Kelsey, Andrew R. Weaver, Joan M. Burke, Jim Morgan, Lee Wright, Scott P. Greiner, and Scott A. Bowdridge. "158 The effect of sire fecal egg count estimated breeding value on antibody production of grazing Katahdin lambs." Journal of Animal Science 98, Supplement_2 (November 1, 2020): 70. http://dx.doi.org/10.1093/jas/skz397.163.
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Abstract Over the past two years of mating high (Hi) or low (Lo) fecal egg count (FEC) EBV Katahdin rams randomly mated to Katahdin ewes, reduced FEC in lambs has been the hallmark trait observable at weaning. Upon additional analysis, death loss in lambs also segregated with sire FEC EBV; whereas, HiFEC-sired lambs had a death loss of 29.9% in 2018 and 14.5% in 2019. Yet, LoFEC-sired lambs had a death loss of 10% in both years. Increased death loss in 2018 may have been due to an outbreak of Clostridium perfringens Type-A and as a result lambs in 2019 were vaccinated for Clostridium type A. Regardless, this had no impact on death loss in LoFEC-sired lambs. Therefore, it can be hypothesized that sire FEC EBV indirectly selects for enhanced, generalized immunity. To initially test this hypothesis, serum was collected from HiFEC- and LoFEC-sired lambs weekly, prior to and after typical clostridium toxoid vaccination and boostering. Lamb serum was pooled by week and within sire, where there were 4 sires per FEC EBV group. Serum was analyzed for total immunoglobulin-G (IgG) by using absorbance at 450nm as the metric. Data were analyzed by using the general linear model of SAS with fixed effects of sire EBV type and week. A comparison of means was conducted by using the LS means procedure with Bonferroni adjustment. Absorbance of serum from LoFEC-sired lambs was higher across all time points than that of serum from HiFEC-sired lambs (1.66 vs. 1.41 ± 0.04; P < 0.0001), meaning that LoFEC-sired lambs had higher circulating IgG than lambs sired by HiFEC rams. Taken together, these data provide preliminary evidence that indicate segregation of lamb generalized immunity by sire FEC EBV.
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Udeh, I. "Estimation of breeding value for bodyweight of grasscutters." Nigerian Journal of Animal Production 48, no. 2 (March 2, 2021): 1–5. http://dx.doi.org/10.51791/njap.v48i2.2934.
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Animal breeders are interested in the genetic worth or total genetic merit of an animal for a given trait. The value of an animal in a breeding program for a particular trait is called the breeding value. The aim of this study was to predict the breeding values for bodyweight of grasscutters at 4, 6 and 8 months of age using univariate animal model. Four families of grasscutters with five grasscutters per family were used for the study. Families 3 and 4 had higher bodyweight at 4 and 6 months compared with families 1 and 2. Family 4 had the highest bodyweight at 8 month and family 2 had the least. The estimated breeding values (EBV) for bodyweight of grasscutters ranged from -0.06kg to 0.45kg at 4 month, -0.05kg to 0.45 kg at 6 month and -0.04kg to 0.55kg at 8 month. The reliability of the EBV (%) ranged from 51.00 to 62.50, 22.25 to 43.81 and 25.84 to 49.00 at 4, 6 and 8 months of age respectively. This implies that the correlations between estimated breeding value and true genetic merit were medium to high in magnitude. The reliability of the EBV could be improved further through collecting more phenotypic information on the animal and its relatives and by improving the heritability of the trait. Les éleveurs s'intéressent à la valeur génétique ou au mérite génétique total d'un animal pour un trait donné. La valeur d'un animal dans un programme d'élevage pour un trait particulier est appelée valeur de reproduction. Le but de cette étude était de prédire les valeurs de reproduction du poids corporel des coupe-herbes à l'âge de 4, 6 et 8 mois à l'aide d'un modèle animal univarié. Quatre familles de coupe-herbes avec cinq coupes-herbes par famille ont été utilisées pour l'étude. Les familles 3 et 4 avaient un poids corporel plus élevé à 4 et 6 mois comparativement aux familles 1 et 2. Famille 4 avait le poids corporel le plus élevé à 8 mois et la famille 2 avait le moins. Les valeurs de reproduction estimées (le 'EBV') pour le poids corporel des coupe-herbes allaient de -0.06 kg à 0,45 kg à 4 mois, -0.05 kg à 0.45 kg à 6 mois et -0.04 kg à 0.55 kg à 8 mois. La fiabilité de l'EBV (%) 51.00 à 62.50, 22.25 à 43.81 et 25.84 à 49.00 à 4, 6 et 8 mois respectivement. Cela implique que les corrélations entre la valeur de reproduction estimée et le véritable mérite génétique étaient de taille moyenne à élevée. La fiabilité de l'EBV pourrait être encore améliorée en recueillant plus d'informations phénotypique sur l'animal et ses parents et en améliorant l'hérabilité du trait.
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Uimari, Pekka, and Esa A. Mäntysaari. "Relationship between bull dam herd characteristics and bias in estimated breeding value of bull." Agricultural and Food Science 4, no. 5-6 (December 1, 1995): 463–72. http://dx.doi.org/10.23986/afsci.72622.
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The objective of the study was to relate estimated breeding values (EBVs) of the parents’ 305-days protein production and the bull dam herd-year characteristics to the empirical bias in pedigree indices (difference between the pedigree index and the final proof) of young bulls. Two animal model evaluations were carried out; one included records up to 1990 and the other up to spring 1992. The final data set included 242 bulls with pedigree indices, final proofs, parents’ EBVs, production and herd information (the size, the average production and the intraherd standard deviation) of the dams. The average empirical bias in pedigree indices was 13.6 kg. The correlation between the final proof of the bull and the EBVs of the bull sire or dam were 0.45 and 0.17, respectively. The low correlation with bull dam EBV indicates the unreliability of the bull dam EBVs. Size of the herd and the standard deviation of production in the herd when bull dam produced its third lactation were correlated with the empirical bias in pedigree index. Pedigree indices of the bulls coming from small herds with high intraherd standard deviation were more biased than those from the big herds with low intraherd standard deviation. The best bulls, when grouped according to their final proofs, were sons of the highest EBV sires. EBVs of bull dams did not differ in the highest and the lowest final proof groups, but the dams of the best bull group had a higher first lactation record than the dams of the other bull groups.
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Allingham, P. G., G. E. Gardner, M. Taylor, R. S. Hegarty, and G. S. Harper. "Effects of sire genotype and plane of nutrition on fascicular structure of M. longissimus thoracis et lumborum and its effect on eating quality." Australian Journal of Agricultural Research 57, no. 6 (2006): 641. http://dx.doi.org/10.1071/ar04319.
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The purpose of this study was to determine if estimated breeding value (EBV) of an animal’s sire and or the animal’s nutrition affected the structure of its M. longissimus thoracis et lumborum (LL) and, hence, the eating quality of meat derived from its carcass. Lambs were chosen based on the EBV of their sires in terms of post-weaning live weight (PWWT), post weaning fat at the C-site (PFAT), and post-weaning eye muscle depth (PEMD). Morphometric techniques were used to characterise muscle structure in terms of the distribution of intramuscular connective tissue; the variables together are called fascicular structure. Perimysial seam thickness and fascicular width were both influenced by sire estimated breeding values for PWWT, PFAT, and PEMD. Variation in fascicular structure was associated with an interaction between PEMD-EBV and PFAT-EBV of the sire. Fascicular width decreased with increased PEMD-EBV and increased with PFAT-EBV, but was not affected by PWWT-EBV. When the total seam thickness was adjusted to a common fascicular width, the lambs on a low plane of nutrition had relatively more intramuscular connective tissue than those on a high plane. The total seam thickness was negatively associated with PFAT-EBV and positively associated with PEMD-EBV. Warner Bratzler shear (WBS) peak force (PF) and initial yield were not associated with differences in sire EBV. The residual WBS shear force, peak force minus initial yield (PFIY), and compression values were negatively associated with nutrition but were positively associated with PWWT-EBV and PEMD-EBV of the sires. These latter 2 effects were moderated by nutrition. The data support the hypothesis that morphological characteristics of perimysium are genetically determined and nutritionally responsive. Variance in morphology accounted for some variance in the biophysical attributes of meat and may help explain why sheep with high muscling potential have tougher meat.
Dissertations / Theses on the topic "Estimated breeding value (EBV)"
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Park, Nigel. "The application of Australian-developed performance and genetic technology to the Chinese beef industry." University of Southern Queensland, Faculty of Arts, 2003. http://eprints.usq.edu.au/archive/00001479/.
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In terms of numbers and volume of meat produced, the Chinese beef industry is one of the largest in the world. Development of the industry has only occurred within the last thirty years, and despite extensive cross-breeding programs with imported breeds, performance of Chinese cattle is low, and the industry is still subject to traditional farming methods. This study looks at the Australian-developed genetic evaluation system BREEDPLAN, which is regarded worldwide as one of the best systems for assisting with selection of beef cattle for increased performance by evaluating genetics and identifying superior animals, and asks if BREEDPLAN can be successfully applied to the Chinese beef industry. Issues discussed include the complementarity of BREEDPLAN to existing Chinese breeding programs and the benefits of BREEDPLAN if introduced, as well as opportunities for Australians to provide consultancy services to facilitate introduction. The marketing of Australian genetic material in China, and cross-cultural marketing issues are also considered. Field research was conducted in China using itinerant interviews and observational research, together with unstructured, informal interviews and discussions with Australian beef industry experts. It is found that breed improvement programs in China are controlled by the Ministry of Agriculture, and management practises within the government-run herds make them eminently suitable for the application of BREEDPLAN. The objective measurements of BREEDPLAN would provide observable genetic gain, resulting in increased industry productivity and profitability. In addition, it is found that a need exists within the Chinese beef industry for consultants not only with expertise and knowledge about BREEDPLAN, but also with an understanding of Chinese language and culture, which would be an advantage for dealing with cross-cultural difficulties. Market opportunities for Australian genetic material are considerable, but not unlimited, and further research is required to assess the size of the market. It is recommended that immediate steps be taken to introduce BREEDPLAN to the Chinese beef industry.
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Saatchi, Mustafa. "Genetic parameters of production traits in Welsh mountain sheep." Thesis, Bangor University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263274.
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Xu, Jiaofen. "Bagging E-Bayes for Estimated Breeding Value Prediction." Master's thesis, 2009. http://hdl.handle.net/10048/626.
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This work focuses on the evaluation of a bagging EB method in terms of its ability to select a subset of QTL-related markers for accurate EBV prediction. Experiments were performed on several simulated and real datasets consisting of SNP genotypes and phenotypes. The simulated datasets modeled different dominance levels and different levels of background noises.
Our results show that the bagging EB method is able to detect most of the simulated QTL, even with large background noises. The average recall of QTL detection was $0.71$. When using the markers detected by the bagging EB method to predict EBVs, the prediction accuracy improved dramatically on the simulation datasets compared to using the entire set of markers. However, the prediction accuracy did not improve much when doing the same experiments on the two real datasets. The best accuracy of EBV prediction we achieved for the dairy dataset is 0.57 and the best accuracy for the beef dataset is 0.73.
Book chapters on the topic "Estimated breeding value (EBV)"
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Lino Ferreira, Juliano, Eveline Teixeira Caixeta, Fernanda Fatima Caniato, Tesfahun Setotaw, Gustavo César Sant’Ana, and Leila Maria Ferreira. "Genetic Diversity of Coffea arabica." In Genetic Diversity [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94744.
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Coffea arabica L. is a native coffee species probably originated in Abyssinia, now Ethiopia. The genetic diversity of C. arabica has economic implications directly related to profits by breeding for developing new varieties to a global market. The economic value of C. arabica genetic resources are estimated at US$ 420 million, considered a 10% discount rate. Understanding the extent of traits variability and genetic diversity is essential to guide crosses between genotypes, targeting the development of new varieties with high economic value. This chapter will present the C. arabica economic importance, primarily to Brazil, the most significant world producer; we will outline the origin and dispersion of arabica coffee and briefly show the leading germplasm banks. We will also point out contribution of genetic diversity studies based on morphological, agronomic traits, and molecular markers supporting the development of new varieties. Finally, we present an outline for the future.