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Journal articles on the topic 'Postharvest'

To see the other types of publications on this topic, follow the link: Postharvest.

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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1

Amilia, Winda, Andrew Setiawan Rusdianto, and Sayidati Zulaikhah. "Edible Coatings to Reduce Postharvest Loss of Harumanis Mango (Mangifera indica L.)." Journal La Lifesci 1, no. 3 (July 22, 2020): 1–7. http://dx.doi.org/10.37899/journallalifesci.v1i3.105.

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Harumanis is type of mango in Indonesia that meets the needs of export or local markets. Harumanis mango have not been able to fully boost the rate of export of this Indonesian fresh fruit due to poor postharvest technology. This condition has an adverse impact as it increases postharvest loss. Thus, in these conditions there must be postharvet handling of harumanis mango, one of which is edible coating made from chitosan with the addition of starch. The difference in the value of amylose and amylopectin from starch resulted in differen results. The aim of this research was to determine the effect of addition of starch types in chitosan edible coating on the postharvest loss of harumanis mango based onthe physico-chemical tests. The experiment used completely randomized design with two factor. The parameters observed were physical test including weight loss, texture, and color. Chemical test including respiration rate, vitamin C, and total soluble solids. The result showed that the addition of starch on chitosan edible coating significantly affected postharvest loss to the results of physical and chemical tests. The best treatment was the addition of starh to edible coating with chitosan because it can provide physical and chemical defense during storage at room temperature.

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2

Maynard, Donald N. "Postharvest Biology." HortScience 40, no. 7 (December 2005): 1936. http://dx.doi.org/10.21273/hortsci.40.7.1936.

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3

Pedreschi, R., M. Hertog, and B. M. Nicolaï. "POSTHARVEST PROTEOMICS." Acta Horticulturae, no. 877 (November 2010): 75–80. http://dx.doi.org/10.17660/actahortic.2010.877.4.

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4

Nicolaï, B. M., R. Pedreschi, A. Geeraerd, T. Vandendriessche, and M. L. A. T. M. Hertog. "POSTHARVEST METABOLOMICS." Acta Horticulturae, no. 880 (November 2010): 369–76. http://dx.doi.org/10.17660/actahortic.2010.880.44.

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5

Martins, Carlos Roberto, Alexandre Hoffmann, Cesar Valmor Rombaldi, Roseli de Mello Farias, and Adenir Vieira Teodoro. "Apple biological and physiological disorders in the orchard and in postharvest according to production system." Revista Brasileira de Fruticultura 35, no. 1 (March 2013): 1–8. http://dx.doi.org/10.1590/s0100-29452013000100001.

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The study aimed to evaluate the incidence of biological and physiological disorders in the field and postharvested apples cvs. Gala, Fuji and Catarina grown in four production systems: conventional, organic transition, integrated and organic. Apples were evaluated for damages related to biological and physiological disorders in the orchard and after harvest. The greatest damages were attributed to pests, especially Anastrepha fraterculus in the organic system and Grapholita molesta in the organic transition. Apples produced in organic orchards had higher damage levels caused by postharvest physiological disorders than those grown in other production systems. For apples becoming from organic orchards most of the damage was due to lenticels breakdown and degeneration ('Gala'), and bitter pit ('Fuji' and 'Catarina'). The incidence of postharvest rot was not influenced by apple production system.

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6

Gathambiri, CW, WO Owino, S. Imathiu, and JN Mbaka. "Postharvest losses of bulb onion (Allium cepa L.) in selected sub-counties of Kenya." African Journal of Food, Agriculture, Nutrition and Development 21, no. 02 (March 24, 2021): 17529–44. http://dx.doi.org/10.18697/ajfand.97.20145.

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Inappropriate postharvest practices such as unsuitable harvesting methods and inadequate curing in bulb onion lead to losses. Postharvest losses in bulb onion contribute to food and nutrition insecurity. Although Kenya has suitable environmental conditions for bulb onion production, its productivity is low, which is attributed to pre-and postharvest factors. Information on bulb onion postharvest losses and their causes in the country is scanty which limits the development of postharvest losses reduction strategies. Therefore, this study was carried out in three major bulb onion growing sub-counties of Kenya namely Mt.Elgon, Buuriand KajiadoEastto determine postharvest practices, causes, and factors influencing postharvest losses of bulb onion. A multi-stage sampling design was used to select the study areas and a total of 166respondents were randomly selected. Face-to-face interviews were conducted using a structured questionnaire to collect information on postharvest handling practices, postharvest loss levels, and their causes at farm level. Data were subjected to descriptive and logistic regression analysis using Statistical Package for Social Scientists(SPSS) software version 2.0. Results indicated that 68% of the respondents were males and with an average age of40 years in the three sites. Forty-eight percent of the respondents used leaves toppling, and 25% used drying of upper leaves as maturity indices. About 42% of the respondents used machete (panga) as a harvesting tool which significantly (P<0.05) influenced postharvest losses. Seventy seven percent of the respondents indicated that up to 30% of postharvest losses occurred at farm level. Forty percent of the respondents indicated that bulb onion rots caused 10 % loss at farm level. The level of education and mode of transport (bicycles and donkeys) significantly (P<0.05) influenced postharvest losses. It was concluded that the postharvest losses at farm levelwas30%andwere mainly caused by rotting. Socio-economic characteristics and postharvest handling practices influenced bulb onion losses at farm level. Development of postharvest losses reduction strategies on bulb onions focusing on alleviating rotting through appropriate postharvest handling practices at farm level was recommended.

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7

Kutyauripo, Innocent, Blessing Masamha, and Peter Maringe. "Exploring climate change adaptation strategies in maize (Zea mays) postharvest management practices among smallholder farmers." Outlook on Agriculture 50, no. 2 (April 8, 2021): 148–57. http://dx.doi.org/10.1177/00307270211001666.

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Climate change has negative effects on postharvest management of cereals. However, much emphasis is placed on climate change adaptation (CCA) in crop production whilst not adequately addressing the CCA in postharvest management of maize. A cross-sectional survey was conducted among smallholder farmers. Key informant interviews, observations and structured interviews on 280 household heads were done. Binary logistic regression was used to analyse determinants of use of postharvest CCA practices whilst multinomial logistic regression was used to analyse determinants of use of postharvest storage facilities. Farmers used grain protectants (40.4%) and minimised the duration of the harvesting process (34.3%) as their major CCA practices in maize postharvest management. There was a significant difference in postharvest maize loss quantities ( p ≤ 0.05) between users and non-users of CCA practices. The choice and use of climate-resilient postharvest strategies were significantly influenced by location, cultivated land, access to radio and membership to farmer club. Choice of a postharvest storage facility was significantly influenced by training and membership to farmers’ club. Smallholder farmers are using some conventional maize postharvest management practices like grain protectants to adapt to the effects of climate change. The use of maize postharvest CCA strategies significantly reduced postharvest losses.

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8

Ansah, Isaac Gershon Kodwo, and Bright K. D. Tetteh. "Determinants of Yam Postharvest Management in the Zabzugu District of Northern Ghana." Advances in Agriculture 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/9274017.

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Postharvest loss reduction has received attention in many policy documents across nations to ensure global food security, particularly in developing countries. Many researchers have examined various options for reducing postharvest losses. We contribute our quota to this scientific discourse by using a different approach. We argue that the human element of managing postharvest loss is central and therefore poses the question of what are the characteristics of the farmer who manages postharvest losses better. We examine this question by using a cross section of yam farmers in the Zabzugu district in Northern Ghana and generate a proportional variable called postharvest management, which measures how effective a farmer works to reduce storage losses. We then use a fractional logistic regression model to examine the determinants of postharvest management. A significant result is that subsistence farmers manage postharvest losses better than commercial farmers. Characteristically, the farmer who effectively manages postharvest losses is a young, subsistence farmer, living in or close to a district capital with fewer household members, has attained formal education, and produces more yam. Efforts to reduce postharvest losses require the provision of access roads to remote towns or providing effective storage techniques and training on postharvest management practices.

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9

Stieve, Susan M., and Dennis P. Stimart. "051 GENETIC ANALYSIS OF POSTHARVEST LONGEVITY IN ANTIRRHINUM MAJUS L." HortScience 29, no. 5 (May 1994): 435c—435. http://dx.doi.org/10.21273/hortsci.29.5.435c.

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Selecting for increased postharvest longevity through use of natural variation is being investigated in Antirrhinum majus (snapdragon) in order to decrease postharvest chemical treatments for cut flowers. The postharvest longevity of eighteen white commercial inbreds was evaluated. Twelve stems of each inbred were cut to 40 cm and placed in distilled water. Stems were discarded when 50% of spike florets wilted or browned. Postharvest longevity ranged from 3.0 (Inbred 1) to 16.3 (Inbred 18) days. Crossing Inbred 18 × Inbred 1 yields commercially used Hybrid 1 (6.6 days postharvest). The F2 population averaged 9.1 days postharvest (range 1 to 21 days). F3 plants indicate short life postharvest may be conferred by a recessive gene in this germplasm. Populations for generation means analysis as well as hybrids between short, medium and long-lived inbreds were generated and evaluated for postharvest longevity.

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10

Çelikel, Fisun Gürsel. "Organik Bahçe Ürünlerinin Hasat Sonrası Kalitelerinin Korunması." Turkish Journal of Agriculture - Food Science and Technology 6, no. 2 (March 3, 2018): 175. http://dx.doi.org/10.24925/turjaf.v6i2.175-182.1532.

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Not only cultural treatments in orchard but also postharvest handling affect the taste, shelf life and nutritional quality of organic fruits and vegetables. Organic crops are mostly harvested at ripe stage or close to ripen, thus, their shelf life is shorter and they are more perishable. Postharvest physiology and requests of crops should be considered during postharvest handling in order to maintain their high quality and prevent postharvest losses. The main aim in postharvest concept is to slow down the metabolism of fresh crops continue to live after harvest. The most important factor is temperature. The fruits and vegetables should be protected from high temperatures and cooled immediately after harvest. The cold chain should be kept until consumer. In addition, diseases can be prevented by controlling environment. Sanitation is another rule to consider. All these rules are important for all growers; however they are of special importance for organic horticulture which allows limited postharvest technologies. In this review, the allowed postharvest treatments of certificated organic fruits and vegetables are given. Preharvest factors, harvest, postharvest factors, cooling methods, cold storage, sanitation methods and products, ethylene and its control, and other specific postharvest subjects are discussed.

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11

Khatun, M., and MS Rahman. "Postharvest Loss Assessment of Tomato in Selected Locations of Bangladesh." Bangladesh Journal of Agricultural Research 45, no. 1 (June 5, 2022): 43–52. http://dx.doi.org/10.3329/bjar.v45i1.59837.

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Tomato is a very well-known horticultural crop in Bangladesh. In order to make tomato production profitable postharvest management is very important. The present study assessed tomato postharvest losses in four intensive growing sites of Jamalpur and Rangpur districts of Bangladesh. Farm level postharvest losses were measured through using descriptive and inferential statistics. Cobb- Douglas type multiple linear regression model was used to identify the factors affecting farm level tomato postharvest loss in the survey areas. Farm level postharvest loss of tomato was 12.45% per farm in the survey area. From this3.59% was due to partial damages and the rest 8.86% was for full damages of tomato. The major causes for postharvest loss of tomato were rotten, disease and insect infestation. This loss incurs financial loss at farm level by BDT 152.45 per decimal of tomato cultivation. Total harvested amount, family member and selling price were some of the important factors for tomato postharvest loss in the survey area. Wide practices of improved postharvest management practices are essential to reduce tomato postharvest loss in the survey area. Bangladesh J. Agril. Res. 45(1): 43-52, March 2020

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12

Crisosto, C. H., L. Ferguson, and J. Rodriguez-Bermejo. "EMERGING POSTHARVEST TECHNOLOGIES." Acta Horticulturae, no. 1079 (March 2015): 47–52. http://dx.doi.org/10.17660/actahortic.2015.1079.3.

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13

Lurie, Susan. "Postharvest heat treatments." Postharvest Biology and Technology 14, no. 3 (November 1998): 257–69. http://dx.doi.org/10.1016/s0925-5214(98)00045-3.

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14

Zhang, Y. H., S. C. Negi, and J. C. Jofriet. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 1 (September 2000): 39–44. http://dx.doi.org/10.1006/jaer.2000.0558.

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15

Su, Baoyi, Z. A. Henry, Haibing Zhang, and D. O. Onks. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 1 (September 2000): 45–52. http://dx.doi.org/10.1006/jaer.2000.0564.

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16

Sarig, Yoav. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 3 (November 2000): 239–58. http://dx.doi.org/10.1006/jaer.2000.0566.

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17

Ortiz, C., P. Barreiro, E. Correa, F. Riquelme, and M. Ruiz-Altisent. "PH—Postharvest technology." Journal of Agricultural Engineering Research 78, no. 3 (March 2001): 281–89. http://dx.doi.org/10.1006/jaer.2000.0570.

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18

Lochte-Watson, Karen R., Curtis L. Weller, and David S. Jackson. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 2 (October 2000): 203–8. http://dx.doi.org/10.1006/jaer.2000.0583.

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19

Amirante, R., and P. Catalano. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 2 (October 2000): 193–201. http://dx.doi.org/10.1006/jaer.2000.0586.

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20

Bargale, P. C., D. Wulfsohn, J. Irudayaraj, R. J. Ford, and F. W. Sosulski. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 2 (October 2000): 171–81. http://dx.doi.org/10.1006/jaer.2000.0588.

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21

Gigler, J. K., W. K. P. van Loon, I. Seres, G. Meerdink, and W. J. Coumans. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 4 (December 2000): 391–400. http://dx.doi.org/10.1006/jaer.2000.0590.

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22

Molenda, M., S. A. Thompson, and I. J. Ross. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 2 (October 2000): 209–19. http://dx.doi.org/10.1006/jaer.2000.0591.

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23

De Belie, N., S. Schotte, J. Lammertyn, B. Nicolai, and J. De Baerdemaeker. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 2 (October 2000): 183–91. http://dx.doi.org/10.1006/jaer.2000.0592.

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24

Balasubramanian, D. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 3 (March 2001): 291–97. http://dx.doi.org/10.1006/jaer.2000.0603.

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25

Davidson, V. J., S. D. Noble, and R. B. Brown. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 3 (November 2000): 303–8. http://dx.doi.org/10.1006/jaer.2000.0607.

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26

Noble, S. D., R. B. Brown, and V. J. Davidson. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 4 (December 2000): 385–90. http://dx.doi.org/10.1006/jaer.2000.0608.

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27

Ragni, L., and A. Berardinelli. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 3 (March 2001): 273–79. http://dx.doi.org/10.1006/jaer.2000.0609.

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28

Temple, S. J., and A. J. B. van Boxtel. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 4 (December 2000): 401–7. http://dx.doi.org/10.1006/jaer.2000.0616.

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29

Temple, S. J., and A. J. B. van Boxtel. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 1 (January 2001): 51–56. http://dx.doi.org/10.1006/jaer.2000.0625.

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30

Tanner, D. J., A. C. Cleland, T. R. Robertson, and L. U. Opara. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 77, no. 4 (December 2000): 409–17. http://dx.doi.org/10.1006/jaer.2000.0626.

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31

Hobson, R. N., D. G. Hepworth, and D. M. Bruce. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 2 (February 2001): 153–58. http://dx.doi.org/10.1006/jaer.2000.0631.

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32

Soysal, Y., and S. Öztekin. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 1 (January 2001): 57–63. http://dx.doi.org/10.1006/jaer.2000.0636.

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33

Soysal, Y., and S. Öztekin. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 2 (February 2001): 159–66. http://dx.doi.org/10.1006/jaer.2000.0638.

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34

Batalon, Juanito T., and Ponciano S. Madamba. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 2 (February 2001): 167–75. http://dx.doi.org/10.1006/jaer.2000.0641.

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35

Bollen, A. F., N. R. Cox, B. T. Dela Rue, and D. J. Painter. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 4 (April 2001): 391–95. http://dx.doi.org/10.1006/jaer.2000.0642.

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36

De Ketelaere, Bart, and Josse De Baerdemaeker. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 2 (February 2001): 177–85. http://dx.doi.org/10.1006/jaer.2000.0652.

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37

Makino, Yoshio. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 3 (March 2001): 261–71. http://dx.doi.org/10.1006/jaer.2000.0654.

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38

Freire, F., A. Figueiredo, and P. Ferrão. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 78, no. 4 (April 2001): 397–406. http://dx.doi.org/10.1006/jaer.2000.0657.

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39

Nimkar, P. M., and P. K. Chattopadhyay. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 80, no. 2 (October 2001): 183–89. http://dx.doi.org/10.1006/jaer.2000.0664.

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40

Elaskar, S. A., L. A. Godoy, D. Mateo, and G. Seeber. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 79, no. 1 (May 2001): 65–71. http://dx.doi.org/10.1006/jaer.2000.0665.

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41

Soysal, Y., and S. Öztekin. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 79, no. 1 (May 2001): 73–79. http://dx.doi.org/10.1006/jaer.2000.0668.

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42

Menesatti, Paolo, and Graziella Paglia. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 80, no. 1 (September 2001): 53–64. http://dx.doi.org/10.1006/jaer.2000.0669.

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43

Liu, Qiang, and F. W. Bakker-Arkema. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 80, no. 2 (October 2001): 173–81. http://dx.doi.org/10.1006/jaer.2000.0671.

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44

Liu, Qiang, and F. W. Bakker-Arkema. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 80, no. 3 (November 2001): 245–50. http://dx.doi.org/10.1006/jaer.2000.0672.

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45

Chen, Chiachung, and Po-Ching Wu. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 80, no. 1 (September 2001): 45–52. http://dx.doi.org/10.1006/jaer.2000.0677.

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46

Leiva, F. R., and J. Morris. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 79, no. 1 (May 2001): 81–90. http://dx.doi.org/10.1006/jaer.2000.0686.

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47

Berbert, P. A., D. M. Queiroz, E. F. Sousa, M. B. Molina, E. C. Melo, and L. R. D. Faroni. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 80, no. 1 (September 2001): 65–80. http://dx.doi.org/10.1006/jaer.2000.0689.

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48

Shitanda, D., Y. Nishiyama, and S. Koide. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 79, no. 2 (June 2001): 195–203. http://dx.doi.org/10.1006/jaer.2000.0695.

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49

Ortiz-Cañavate, J., F. J. Garcı́a-Ramos, and M. Ruiz-Altisent. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 79, no. 2 (June 2001): 205–11. http://dx.doi.org/10.1006/jaer.2000.0699.

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50

Liu, Qiang, and F. W. Bakker-Arkema. "PH—Postharvest Technology." Journal of Agricultural Engineering Research 80, no. 1 (September 2001): 81–86. http://dx.doi.org/10.1006/jaer.2001.0670.

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