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Estimating Breeding Value of Pomological Traits in Grape Cultivars Based on REMAP Molecular Markers

Document Type : Research Paper

Authors

1 Ph.D. Graduate of Horticulture, Physiology and Breeding of Fruit Trees, Department of Horticulture, Zanjan University, Zanjan, Iran

2 Professor, Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia University, Urmia, Iran

3 3- Associate Professor, Horticultural Crops Research Department, Kurdistan Agricultural and Natural Resources Research and Education Center, AREEO, Sanandaj, Iran

4 Professor, Department of Horticulture, Zanjan University, Zanjan, Iran

5 Professor, CEBAS-CSIC, Murcia, Spain

Abstract

Abstract
Introduction
One of the most important goals of grapes breeding is to obtain seedless grapes with large berries and good taste. In order to achieve table and raisin grape varieties with good quality, desirable taste and larger berries with various colors, it is necessary to estimate the breeding value of the desired traits. In this study, breeding values of fourteen characters in 45 grape cultivars were predicted using the best linear prediction (BLUP) pediction. The purpose of the study was to estimate the breeding value of the grape cultivars and to identify the superior cultivars. The results of this study can be of great help to breeders in selecting cultivars with favorable market traits and cultivars with better yield.
 
Materials and Methods
In this study, 45 grape cultivars in the collection of Agricultural and Natural Resources Research Center of West Azerbaijan Province were used. From each of the cultivars in the first year of research, ten 14-year-old plants were selected and TSS, pH, TA, berry weight, flesh weight, single seed weight, seed number, juice volume, pollen germination, cluster length, cluster width, cluster weight, fruit set in open and under controlled pollination were investigated. The characteristics were measured for three consecutive years.
 
 
Results and Discussion
Based on the results, considering the sum of the breeding values of all the studied traits, Agh Shani, Taifi, Qzl Ouzum, Lal Qermez, Tabarze Qermez, Garmian, Rishbaba Qermez and Qara Shani cultivars had the highest rank. Among the studied seedless cultivars, Rejin cultivar had the highest breeding value in terms of single seed weight, and Keshmeshi Sefid cultivar in terms of seed number. Among the seeded cultivars, Shirazi cultivar showed the highest breeding value in terms of single seed weight and Qara Shani cultivar in terms of seed number. Garmian, Rishbaba Qermez, Keshmeshi Qermez, Tabarze Qermez, Agh Shani and shirazi had positive breeding value for pollen germination, fruit set in open pollination and fruit set under controlled pollination. Sarghola, Gazandaii and Qzl Ouzum cultivars had the high and positive breeding value for berry weight and fresh weight. Lal Qermez, Rishbaba Qermez and Tabarze Qermez cultivars had high and positive breeding value for cluster weight, cluster width and cluster weight. Genotypes with the highest breeding value had the highest ability to transfer their traits to offspring. Therefore, they can be used as a desirable parent to modify these traits in crop breeding programs.
 
Conclusion
In this study, breeding values of fourteen characters including total soluble solids, titratable acidity, berry weight, flesh weight, single seed weight, seed number, juice volume, fruit set in open pollination, pollen germination, cluster length, cluster width, cluster weight, fruit set under controlled pollination in 45 grape cultivars were predicted using the best linear prediction (BLUP) prediction. Studied cultivars showed different breeding values for the studied traits. Genotypes with the highest breeding value can be used as a desirable parent to modify these traits in grape breeding programs as these genotypes have the highest ability to transfer their traits to offspring.
 
 

Keywords

Main Subjects

References
References
Ayala-Zavala, J. F., Wang, S. Y., Wang, C. Y., & Gonzalez-Aguilar, G. A. (2007). High oxygen treatment increases antioxidant capacity and postharvest life of strawberry fruit. Journal of Food Technology and Biotechnology, 45(2), 166-173.
Bernardo, R. (1994). Prediction of maize single-cross performance using RFLPs and information from related hybrids. Crop Science, 34(1), 20-25.
Bernardo, R. (2010). Breeding for quantitative traits in plants (2nd ed). Woodbury, MN: Stemma Press.
Burdon, J., McLeod, D., Lallu, N., Gambel, J., Petley, M., & Gunson, A. (2004). Consumer evaluation of Hayward Kiwifruit of different at harvest dry matter contents. Postharvest Biology and Technology, 34(3), 245-255.
D’Onofrio, C., De Lorenzis, G., Giordani, T., Natali, L., Cavallini, A., & Scalabrelli, G. (2010). Retrotransposon-based molecular markers for grapevine species and cultivars identification. Tree Genetics and Genomes, 6(3), 451-466.
De Souza, V. A., Byrne, D. H., & Taylor, J. F. (2000). Predicted breeding values for nine plant and fruit
characteristics of 28 peach genotypes. Journal of the American Society for Horticultural Science, 125(4), 460-465.
Doulati Baneh, H., & Jalili Marandi, R. (2014). Fruit trees breeding. Mashhad: Mashhad Jahad Daneshgahi press. [In Farsi]
Doyle, J. J., & Doyle, J. L. (1990). Isolation of plant DNA from fresh tissue. Focus, 12(1), 13-15.
Ebadi, A., & Haddadinejad, M. (2015). Physiology, breeding and production of grapes. Tehran: Tehran university press. [In Farsi]
Falconer, D. S., & Mackay, T. F. C. (1996). Introduction to quantitative genetics. United Kingdom: Pearson Education Limited, Harlow.
Fehr, W. (1991). Principles of cultivar development: Theory and technique. NY, USA: Macmillian Publishing Company.
Foulley, J. L. (2015). Mixed model methodology. Part I: Linear Mixed Models. Technical Report, e-print: France: Université de Montpellier 2.
Fresnedo-Ramirez, J., Frett, T. J., Sandefur, P. J., Salgado, A. A., Clark, J. R., Gasic, K., … & Gradziel, T. M. (2016). QTL mapping and breeding value estimation through pedigree-based analysis of fruit size and weight in four diverse peach breeding programs. Tree Genetics and Genomes, 12, 25.
Hajiali, A., Darvishzadeh, R., Zahedi, B., & Abbaskohpayegani, J. (2017). Exploring genetic diversity of some Iranian watermelon (Citrullus vulgaris) accessions in Urmia climatic conditions, Plant Productions, 40(1), 29-40. [In Farsi]
Hardner, C. M., Bally, I. S. E., & Wright, C. L. (2012). Prediction of breeding values for average fruit weight in mango using a multivariate individual mixed model. Euphytica, 186(2), 463-477.
Henderson, C. (1990). Statistical methods in animal improvement: Historical overview. Advances in statistical methods for genetic improvement of livestock. Advanced series in agricultural sciences (vol 18. pp, 2-14). Berlin, Heidelberg: Springer.
Imai, A., Kuniga, T., Yoshioka, T., Nonaka, K., Mitani, N., Fukamachi, H., … & Hayashi, T. (2016). Evaluation of the best linear unbiased prediction method for breeding values of fruit-quality traits in citrus. Tree Genetics and Genomes, 12(6), 119.
Jamshidi Golan, S., Mazahery Laghab, H., Moosavi S. S., & Kakaei, M. (2015). Variability of different characteristics of field resistance in different alfalfa (Medicago sativa L.) genotypes to alfalfa weevil (Hypera postica Gyll.). Plant Production Technology, 7(1), 141-152.
Kozma, P., Nyeki, J., Soltesz, M., & Szabo, Z. (2003). Floral biology, pollination and fertilization in temperate zone fruit species and grape. Budapest: Akademiai Kiado.
Ledbetter, C. A., & Ramming, D. W. (1989). Seedlessness in grapes. Horticultural Reviews, 11, 159-184.
Ledbetter, C. A., Burgos, L., & Palmquist, D. (1994). Comparison of methods used for determining the stenospermic trait in Vitis vinifera L. Vitis, 33(1), 11-33.
Lombardo, G., Cargnello, G., Bassi, M., Gerola, F. M., & Carraro, L. (1978). Pollen ultra-structure in different vine cultivars with low productivity. Vitis, 17(3), 221-228.
Martinez-Garcia, P. J., Famula, R., Leslie, C. A., Mcgranahan, G. H., Famula, T. R., & Neale, D. B. (2017). Predicting breeding values and genetic components using generalized linear mixed models for categorical and continuous traits in walnut (Juglans regia). Tree Genetics and Genomes, 13(5), 1-12.
Meyer, K. (2007). Wombat a tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). Journal of Zhejiang University Science, 8(11), 815-821.
Nasri, S., Abdollahi Mandoulakani, B., Darvishzadeh, R., & Bernousi, I. (2013). Retrotransposon insertional polymorphism in Iranian bread wheat cultivars and breeding lines revealed by IRAP and REMAP markers. Biochemical Genetics, 51(11-12), 927-943.
Patterson, H. D., & Thompson, R. (1971). Recovery of inter-block information when block sizes are unequal. Biometrika, 58(3), 545-554.
Pereira, H. S, Barao, A., Delgado, M., Morais-Cecilio, L., & Viegas, W. (2005). Genomic analysis of grapevine retrotransposon 1 (Gret1) in Vitis vinifera. Theoretical and Applied Genetics, 111(5), 871-878.
Rakonjac, V., Todiv, S., Beslic, Z., Korac, N., & Markovic, N. (2010). The cluster analysis of clones obtained from authochthonous cultivar Kreaca (Vitis vinifer L.). Genetika, 42(3), 415-424.
Rasouli, M., Ershadi Qarahlar, B., & Karimi, R. (2019). The effect of pollen type of some walnut genotypes on fruit set, and fruit quantitative and qualitative characteristics of MSG15, MKG23 and MKG24 as seed parents. Plant Productions, 42(3), 307-320. [In Farsi]
Razi, M., Amiri, M. E., Darvishzadeh, R., Doulati Baneh, H., Alipour, H., & Martinez Gomez, P. (2020). Assessment of genetic diversity of cultivated and wild Iranian grape germplasm using retrotransposon-microsatellite amplified polymorphism (REMAP) markers and pomological traits. Molecular Biology Reports, 47(10), 7593-7606.
Razi, M., Darvishzadeh, R., Amiri, M. E., Doulati Baneh, H., & Martinez Gomez, P. (2018). Molecular characterization of a diverse Iranian table grapevine germplasm using REMAP markers: Population structure, linkage disequilibrium and association mapping of berry yield and quality traits. Biologia, 74(2), 173-185.
Reis Pereira, M., Ribeiro, H., Cunha, M., & Abreu, I. (2018). Comparison of pollen quality in Vitis vinifera L. cultivars. Scientia Horticulturae, 227, 112-116.
Roudbari, Z., Mohammadi-Nejad, G., & Shahsavand-Hassani, H. (2017). Field screening of primary and secondary tritipyrum genotypes using selection indices based on blup under saline and normal conditions. Crop Science, 57(3), 1495-1503.
Sato, A., Yamada, M., Iwanami, H., & Mitani, M. (2004). Quantitative and instrumental measurements of grape flesh texture as affected by gibberellic acid application. Journal of the Japanese Society for Horticultural Science, 73(1), 7-11.
Searle, S. R., Casella, G., & McCulloch, C. E. (2009). Variance components. NY, USA: John Wiley & Sons.
Semagn, K., Bjørnstad, A., & Xu, Y. (2010). The genetic dissection of quantitative traits in crops. Electronic Journal of Biotechnology, 13(5), 1-45.
Sharafi, Y., & Bahmani, A. (2011). Pollen germination, tube growth and longevity in somecultivars of Vitis vinifera L. African Journal of Microbiology Research, 5(9), 1102-1107.
Szabo, Z. (2003). Grapes (Vitis vinifera L.). Floral biology, pollination and fertilization in temperate zone fruit species and grape (pp. 783-820). Budapest: Akademiai Kiado
Tangolar, S., Eti, S., Gok, S., & Ergenoglu, F. (1999). Obtaining plants from seedless x seedless grape crosses using embryo culture. Turkish Journal of Agriculture and Forestry, 23(4), 935-942.
Varoquaux, F., Blanvillain, R., Delseny, M., & Gallois, P. (2000). Less is better: new approaches for seedless fruit production. Trends in Biotechnology, 18(6), 233-242.
Villumsen, T. M., & Janss, L. (2009). Bayesian genomic selection: the effect of haplotype length and priors. BMC Proceedings, 3(1), 1-11.
Vukich, M., Schulman, A. H., Giordani, T., Natali, L., Kalendar, R., & Cavallini, A. (2009). Genetic variability in sunflower (Helianthus annuus L.) and in the Helianthus genus as assessed by retrotransposon-based molecular markers. Theoretical and Applied Genetics, 119(6), 1027-1038.
Wu Dai, Z., Ollat, N., Gomes, E., Decroocq, S., Tandonnet, J. P., Bordenave, L., … & Delrot, S. (2011). Ecophysiological, genetic, and molecular causes of variation in grape berry weight and composition: A Review. American Journal of Enology and Viticulture, 62(4), 413-425.
Xianming, W., Sykes, S. R., & Clingeleffer, P. R. (2002). An investigation to estimate genetic parameters in CSIRO’s table grape breeding program. 2. Quality characteristics. Euphytica, 128(3), 343-351.
Yang, R. C. (2010). Towards understanding and use of mixed-model analysis of agricultural experiments. Canadian Journal of Plant Science, 90(5), 605-627.
Zerihun, A., McClymont, L., Lanyon, D., Goodwin, I., & Gibberd, M. (2015). Deconvolutingm effects of vine and soil properties on grape berry composition. Journal of the Science of Food and Agriculture, 95(1), 193-203.
Plant Productions
Volume 44, Issue 4
December 2021
Pages 515-530
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