Estimates of genetic parameters and the selection of table grape hybrids in semiarid regions of Brazil
The objective of this study was to estimate the repeatability coefficients, optimal number of harvests, and genetic gains and to select superior hybrids of table grapes for the development of cultivars adapted to semiarid conditions in Brazil. The mixed model methodology REML/BLUP was used to estima...
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description | The objective of this study was to estimate the repeatability coefficients, optimal number of harvests, and genetic gains and to select superior hybrids of table grapes for the development of cultivars adapted to semiarid conditions in Brazil. The mixed model methodology REML/BLUP was used to estimate the variance components and predict the genotypic values. Two hundred table grape hybrids were evaluated during six harvests at the Mandacaru Experimental Field in Embrapa Semiárido, Juazeiro, Bahia, Brazil. The experiment was implemented in the absence of an experimental design, with a single individual of each genotype. Twelve quantitative morphoagronomic variables were evaluated. The repeatability coefficients were as follows: 0.20 (yield), 0.18 (number of bunches), 0.37 (bunch length), 0.30 (bunch width), 0.47 (bunch weight), 0.60 (berry length), 0.68 (bunch diameter), 0.70 (berry weight), 0.14 (soluble solids content) and 0.13 (
ratio
). The accuracies obtained by performing
m
repeated measurements revealed that for berry characteristics, only one measurement was sufficient; two measurements were required for the length and weight of the bunch; three measurements were required for the bunch width; four measurements were required for the yield and five measurements for the number of bunches; for the soluble solids content and
ratio
, seven and six measurements were needed, respectively. Individual genotypic selection allows high genetic gains for bunch and berry traits and satisfactory gains for quality traits. In addition, three superior genotypes ('BRS Tainá', CPATSA 05.168 and CPATSA 79.100) were identified for eight traits simultaneously, with 'BRS Tainá' being identified as an apyrenic cultivar. |
doi_str_mv | 10.1007/s10681-023-03163-8 |
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ratio
). The accuracies obtained by performing
m
repeated measurements revealed that for berry characteristics, only one measurement was sufficient; two measurements were required for the length and weight of the bunch; three measurements were required for the bunch width; four measurements were required for the yield and five measurements for the number of bunches; for the soluble solids content and
ratio
, seven and six measurements were needed, respectively. Individual genotypic selection allows high genetic gains for bunch and berry traits and satisfactory gains for quality traits. In addition, three superior genotypes ('BRS Tainá', CPATSA 05.168 and CPATSA 79.100) were identified for eight traits simultaneously, with 'BRS Tainá' being identified as an apyrenic cultivar.</description><identifier>ISSN: 0014-2336</identifier><identifier>EISSN: 1573-5060</identifier><identifier>DOI: 10.1007/s10681-023-03163-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agricultural production ; Biomedical and Life Sciences ; Biotechnology ; Cultivars ; Design of experiments ; Diameters ; Evaluation ; Experimental design ; Fruits ; Genetic research ; Genotypes ; Grapes ; Harvesting ; Hybrids ; Life Sciences ; Plant Genetics and Genomics ; Plant Pathology ; Plant Physiology ; Plant Sciences ; Quantitative genetics ; Reproducibility ; Seeds ; Semi arid areas ; Semiarid zones ; Vitaceae</subject><ispartof>Euphytica, 2023-03, Vol.219 (3), p.35, Article 35</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>COPYRIGHT 2023 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c288t-60efa7408c4b9384a92f4e8ca1338a16a5632ade63b175411657f6410d4936fc3</citedby><cites>FETCH-LOGICAL-c288t-60efa7408c4b9384a92f4e8ca1338a16a5632ade63b175411657f6410d4936fc3</cites><orcidid>0000-0002-5818-2340 ; 0000-0001-5324-2845 ; 0000-0003-4025-6257 ; 0000-0003-3730-8191 ; 0000-0003-1228-6731</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10681-023-03163-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10681-023-03163-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>de Carvalho, Jullyanna Nair</creatorcontrib><creatorcontrib>Pio, Rafael</creatorcontrib><creatorcontrib>de Carvalho, Pollyanna Aparecida</creatorcontrib><creatorcontrib>Barbosa, Maria Angélica Guimarães</creatorcontrib><creatorcontrib>de Souza Leão, Patrícia Coelho</creatorcontrib><title>Estimates of genetic parameters and the selection of table grape hybrids in semiarid regions of Brazil</title><title>Euphytica</title><addtitle>Euphytica</addtitle><description>The objective of this study was to estimate the repeatability coefficients, optimal number of harvests, and genetic gains and to select superior hybrids of table grapes for the development of cultivars adapted to semiarid conditions in Brazil. The mixed model methodology REML/BLUP was used to estimate the variance components and predict the genotypic values. Two hundred table grape hybrids were evaluated during six harvests at the Mandacaru Experimental Field in Embrapa Semiárido, Juazeiro, Bahia, Brazil. The experiment was implemented in the absence of an experimental design, with a single individual of each genotype. Twelve quantitative morphoagronomic variables were evaluated. The repeatability coefficients were as follows: 0.20 (yield), 0.18 (number of bunches), 0.37 (bunch length), 0.30 (bunch width), 0.47 (bunch weight), 0.60 (berry length), 0.68 (bunch diameter), 0.70 (berry weight), 0.14 (soluble solids content) and 0.13 (
ratio
). The accuracies obtained by performing
m
repeated measurements revealed that for berry characteristics, only one measurement was sufficient; two measurements were required for the length and weight of the bunch; three measurements were required for the bunch width; four measurements were required for the yield and five measurements for the number of bunches; for the soluble solids content and
ratio
, seven and six measurements were needed, respectively. Individual genotypic selection allows high genetic gains for bunch and berry traits and satisfactory gains for quality traits. 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Pio, Rafael ; de Carvalho, Pollyanna Aparecida ; Barbosa, Maria Angélica Guimarães ; de Souza Leão, Patrícia Coelho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c288t-60efa7408c4b9384a92f4e8ca1338a16a5632ade63b175411657f6410d4936fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agricultural production</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Cultivars</topic><topic>Design of experiments</topic><topic>Diameters</topic><topic>Evaluation</topic><topic>Experimental design</topic><topic>Fruits</topic><topic>Genetic research</topic><topic>Genotypes</topic><topic>Grapes</topic><topic>Harvesting</topic><topic>Hybrids</topic><topic>Life Sciences</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Pathology</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Quantitative genetics</topic><topic>Reproducibility</topic><topic>Seeds</topic><topic>Semi arid areas</topic><topic>Semiarid zones</topic><topic>Vitaceae</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Carvalho, Jullyanna Nair</creatorcontrib><creatorcontrib>Pio, Rafael</creatorcontrib><creatorcontrib>de Carvalho, Pollyanna Aparecida</creatorcontrib><creatorcontrib>Barbosa, Maria Angélica Guimarães</creatorcontrib><creatorcontrib>de Souza Leão, Patrícia Coelho</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><jtitle>Euphytica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Carvalho, Jullyanna Nair</au><au>Pio, Rafael</au><au>de Carvalho, Pollyanna Aparecida</au><au>Barbosa, Maria Angélica Guimarães</au><au>de Souza Leão, Patrícia Coelho</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimates of genetic parameters and the selection of table grape hybrids in semiarid regions of Brazil</atitle><jtitle>Euphytica</jtitle><stitle>Euphytica</stitle><date>2023-03-01</date><risdate>2023</risdate><volume>219</volume><issue>3</issue><spage>35</spage><pages>35-</pages><artnum>35</artnum><issn>0014-2336</issn><eissn>1573-5060</eissn><abstract>The objective of this study was to estimate the repeatability coefficients, optimal number of harvests, and genetic gains and to select superior hybrids of table grapes for the development of cultivars adapted to semiarid conditions in Brazil. The mixed model methodology REML/BLUP was used to estimate the variance components and predict the genotypic values. Two hundred table grape hybrids were evaluated during six harvests at the Mandacaru Experimental Field in Embrapa Semiárido, Juazeiro, Bahia, Brazil. The experiment was implemented in the absence of an experimental design, with a single individual of each genotype. Twelve quantitative morphoagronomic variables were evaluated. The repeatability coefficients were as follows: 0.20 (yield), 0.18 (number of bunches), 0.37 (bunch length), 0.30 (bunch width), 0.47 (bunch weight), 0.60 (berry length), 0.68 (bunch diameter), 0.70 (berry weight), 0.14 (soluble solids content) and 0.13 (
ratio
). The accuracies obtained by performing
m
repeated measurements revealed that for berry characteristics, only one measurement was sufficient; two measurements were required for the length and weight of the bunch; three measurements were required for the bunch width; four measurements were required for the yield and five measurements for the number of bunches; for the soluble solids content and
ratio
, seven and six measurements were needed, respectively. Individual genotypic selection allows high genetic gains for bunch and berry traits and satisfactory gains for quality traits. In addition, three superior genotypes ('BRS Tainá', CPATSA 05.168 and CPATSA 79.100) were identified for eight traits simultaneously, with 'BRS Tainá' being identified as an apyrenic cultivar.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10681-023-03163-8</doi><orcidid>https://orcid.org/0000-0002-5818-2340</orcidid><orcidid>https://orcid.org/0000-0001-5324-2845</orcidid><orcidid>https://orcid.org/0000-0003-4025-6257</orcidid><orcidid>https://orcid.org/0000-0003-3730-8191</orcidid><orcidid>https://orcid.org/0000-0003-1228-6731</orcidid></addata></record> |
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subjects | Agricultural production Biomedical and Life Sciences Biotechnology Cultivars Design of experiments Diameters Evaluation Experimental design Fruits Genetic research Genotypes Grapes Harvesting Hybrids Life Sciences Plant Genetics and Genomics Plant Pathology Plant Physiology Plant Sciences Quantitative genetics Reproducibility Seeds Semi arid areas Semiarid zones Vitaceae |
title | Estimates of genetic parameters and the selection of table grape hybrids in semiarid regions of Brazil |
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