Progeny Selection to Develop a Sustainable Arabica Coffee Cultivar
The objective of this study was to investigate the most efficient way to select F<sub>4:5</sub> progenies derived from the Icatu and Catimor groups of <i>Coffea arabica</i> and to study the genotypic correlations between the traits related to coffee grain physical quality, di...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/12/5/1144 |
| _version_ | 1827670967245078528 |
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| author | Priscila Carvalho Moreira Juliana Costa de Rezende Abrahão Antonio Carlos da Mota Porto Denis Henrique Silva Nadaleti Flávia Maria Avelar Gonçalves Gladyston Rodrigues Carvalho Cesar Elias Botelho |
| author_facet | Priscila Carvalho Moreira Juliana Costa de Rezende Abrahão Antonio Carlos da Mota Porto Denis Henrique Silva Nadaleti Flávia Maria Avelar Gonçalves Gladyston Rodrigues Carvalho Cesar Elias Botelho |
| author_sort | Priscila Carvalho Moreira |
| collection | DOAJ |
| description | The objective of this study was to investigate the most efficient way to select F<sub>4:5</sub> progenies derived from the Icatu and Catimor groups of <i>Coffea arabica</i> and to study the genotypic correlations between the traits related to coffee grain physical quality, diseases, and productivity. A combination of the predicted additive values for production capacity when considering seven harvests and a simultaneous selection for a high sieve percentage and resistance to specific diseases during the last harvest was used. Analyses that selected progenies without considering the genotype × harvest interaction provided inaccurate results, distorting the progeny ranking. Coffee leaf rust and brown eye spot were correlated, showing the possibility of simultaneously selecting for resistance to both diseases. Of the 68 progenies studied here, five showed satisfactory agronomic traits. Our findings will contribute substantially to the development of new coffee cultivars that will allow us to reduce pesticide use. |
| first_indexed | 2024-03-10T03:30:32Z |
| format | Article |
| id | doaj.art-a37bf62da11e4c3fb694343f4228e654 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T03:30:32Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-a37bf62da11e4c3fb694343f4228e6542023-11-23T09:43:28ZengMDPI AGAgronomy2073-43952022-05-01125114410.3390/agronomy12051144Progeny Selection to Develop a Sustainable Arabica Coffee CultivarPriscila Carvalho Moreira0Juliana Costa de Rezende Abrahão1Antonio Carlos da Mota Porto2Denis Henrique Silva Nadaleti3Flávia Maria Avelar Gonçalves4Gladyston Rodrigues Carvalho5Cesar Elias Botelho6Department of Agriculture, Federal University of Lavras (UFLA), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilDepartment of Biology, Federal University of Lavras (UFLA), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilDepartment of Biology, Federal University of Lavras (UFLA), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilThe objective of this study was to investigate the most efficient way to select F<sub>4:5</sub> progenies derived from the Icatu and Catimor groups of <i>Coffea arabica</i> and to study the genotypic correlations between the traits related to coffee grain physical quality, diseases, and productivity. A combination of the predicted additive values for production capacity when considering seven harvests and a simultaneous selection for a high sieve percentage and resistance to specific diseases during the last harvest was used. Analyses that selected progenies without considering the genotype × harvest interaction provided inaccurate results, distorting the progeny ranking. Coffee leaf rust and brown eye spot were correlated, showing the possibility of simultaneously selecting for resistance to both diseases. Of the 68 progenies studied here, five showed satisfactory agronomic traits. Our findings will contribute substantially to the development of new coffee cultivars that will allow us to reduce pesticide use.https://www.mdpi.com/2073-4395/12/5/1144<i>Coffea arabica</i>coffee leaf rustbrown eye spot disease |
| spellingShingle | Priscila Carvalho Moreira Juliana Costa de Rezende Abrahão Antonio Carlos da Mota Porto Denis Henrique Silva Nadaleti Flávia Maria Avelar Gonçalves Gladyston Rodrigues Carvalho Cesar Elias Botelho Progeny Selection to Develop a Sustainable Arabica Coffee Cultivar Agronomy <i>Coffea arabica</i> coffee leaf rust brown eye spot disease |
| title | Progeny Selection to Develop a Sustainable Arabica Coffee Cultivar |
| title_full | Progeny Selection to Develop a Sustainable Arabica Coffee Cultivar |
| title_fullStr | Progeny Selection to Develop a Sustainable Arabica Coffee Cultivar |
| title_full_unstemmed | Progeny Selection to Develop a Sustainable Arabica Coffee Cultivar |
| title_short | Progeny Selection to Develop a Sustainable Arabica Coffee Cultivar |
| title_sort | progeny selection to develop a sustainable arabica coffee cultivar |
| topic | <i>Coffea arabica</i> coffee leaf rust brown eye spot disease |
| url | https://www.mdpi.com/2073-4395/12/5/1144 |
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