{"title":"不同模式培育地方稻品种高产自交系的稳定性和适应性比较研究","authors":"Reny Herawati , Angelita Puji Lestari , Nurmegawati , Dwi Wahyuni Ganefianti , Atra Romeida","doi":"10.1016/j.aoas.2021.12.004","DOIUrl":null,"url":null,"abstract":"<div><p>Multilocation trials are important in plant breeding carried out in the field of agronomy. A combination of agronomy and plant breeding is needed to improve plant characteristics and stability testing before releasing new varieties. A single stability analysis method may not be sufficiently representative to determine the performance of genotypes across environments, which sometimes lead to wrong decisions about genotype stability. The objective of this study was to estimate yield potential, adaptability, and stability of superior lines resulting from inbred landraces based on parametric and nonparametric, and a genotype main effect G × E interaction (GGE) biplot. Fourteen inbred lines from Bengkulu landrace rice varieties were evaluated in five environments from January 2019 to November 2020. The experiment was conducted using a complete randomized block design with two replications. The results showed that the highest yield grouping based on the G × E heat-map, genotypes G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), and G5(BKL1-B1-259-1), was found in Sungai Serut. There was a strong positive correlation (r = 1.00) between the mean yield (Y<sub>i</sub>) and YSi, S<sup>2</sup><sub>di</sub> and Di, and W<sub>i</sub><sup>2</sup> and StabVar. Meanwhile, the genotype occurred in the top third of the ranks (TOP) had a positive correlation of 0.78, indicating a suitable stability parameter to identify high-yield genotypes. There were four consistently stable lines based on parametric and nonparametric stability analyses: G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), G13(BKL4-B1-268-10), and G5(BKL1-B1-259-1). The GGE approach methods showed consistent stability, and lines G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G5(BKL1-B1-259-1), G7(BKL1-B3-261-3), and G6(BKL1-B2-260-2) had high-yield potential, wide adaptability, and stability, and are recommended for further testing as candidates for new varieties.</p></div>","PeriodicalId":54198,"journal":{"name":"Annals of Agricultural Science","volume":"66 2","pages":"Pages 184-192"},"PeriodicalIF":3.5000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0570178321000439/pdfft?md5=4bfe0f4fb06a11f0539fd0ef703570d0&pid=1-s2.0-S0570178321000439-main.pdf","citationCount":"5","resultStr":"{\"title\":\"Comparative study on the stability and adaptability of different models to develop a high-yield inbred line from landrace rice varieties\",\"authors\":\"Reny Herawati , Angelita Puji Lestari , Nurmegawati , Dwi Wahyuni Ganefianti , Atra Romeida\",\"doi\":\"10.1016/j.aoas.2021.12.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Multilocation trials are important in plant breeding carried out in the field of agronomy. A combination of agronomy and plant breeding is needed to improve plant characteristics and stability testing before releasing new varieties. A single stability analysis method may not be sufficiently representative to determine the performance of genotypes across environments, which sometimes lead to wrong decisions about genotype stability. The objective of this study was to estimate yield potential, adaptability, and stability of superior lines resulting from inbred landraces based on parametric and nonparametric, and a genotype main effect G × E interaction (GGE) biplot. Fourteen inbred lines from Bengkulu landrace rice varieties were evaluated in five environments from January 2019 to November 2020. The experiment was conducted using a complete randomized block design with two replications. The results showed that the highest yield grouping based on the G × E heat-map, genotypes G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), and G5(BKL1-B1-259-1), was found in Sungai Serut. There was a strong positive correlation (r = 1.00) between the mean yield (Y<sub>i</sub>) and YSi, S<sup>2</sup><sub>di</sub> and Di, and W<sub>i</sub><sup>2</sup> and StabVar. Meanwhile, the genotype occurred in the top third of the ranks (TOP) had a positive correlation of 0.78, indicating a suitable stability parameter to identify high-yield genotypes. There were four consistently stable lines based on parametric and nonparametric stability analyses: G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), G13(BKL4-B1-268-10), and G5(BKL1-B1-259-1). The GGE approach methods showed consistent stability, and lines G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G5(BKL1-B1-259-1), G7(BKL1-B3-261-3), and G6(BKL1-B2-260-2) had high-yield potential, wide adaptability, and stability, and are recommended for further testing as candidates for new varieties.</p></div>\",\"PeriodicalId\":54198,\"journal\":{\"name\":\"Annals of Agricultural Science\",\"volume\":\"66 2\",\"pages\":\"Pages 184-192\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0570178321000439/pdfft?md5=4bfe0f4fb06a11f0539fd0ef703570d0&pid=1-s2.0-S0570178321000439-main.pdf\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Agricultural Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0570178321000439\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Agricultural Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0570178321000439","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Comparative study on the stability and adaptability of different models to develop a high-yield inbred line from landrace rice varieties
Multilocation trials are important in plant breeding carried out in the field of agronomy. A combination of agronomy and plant breeding is needed to improve plant characteristics and stability testing before releasing new varieties. A single stability analysis method may not be sufficiently representative to determine the performance of genotypes across environments, which sometimes lead to wrong decisions about genotype stability. The objective of this study was to estimate yield potential, adaptability, and stability of superior lines resulting from inbred landraces based on parametric and nonparametric, and a genotype main effect G × E interaction (GGE) biplot. Fourteen inbred lines from Bengkulu landrace rice varieties were evaluated in five environments from January 2019 to November 2020. The experiment was conducted using a complete randomized block design with two replications. The results showed that the highest yield grouping based on the G × E heat-map, genotypes G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), and G5(BKL1-B1-259-1), was found in Sungai Serut. There was a strong positive correlation (r = 1.00) between the mean yield (Yi) and YSi, S2di and Di, and Wi2 and StabVar. Meanwhile, the genotype occurred in the top third of the ranks (TOP) had a positive correlation of 0.78, indicating a suitable stability parameter to identify high-yield genotypes. There were four consistently stable lines based on parametric and nonparametric stability analyses: G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), G13(BKL4-B1-268-10), and G5(BKL1-B1-259-1). The GGE approach methods showed consistent stability, and lines G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G5(BKL1-B1-259-1), G7(BKL1-B3-261-3), and G6(BKL1-B2-260-2) had high-yield potential, wide adaptability, and stability, and are recommended for further testing as candidates for new varieties.
期刊介绍:
Annals of Agricultural Sciences (AOAS) is the official journal of Faculty of Agriculture, Ain Shams University. AOAS is an open access peer-reviewed journal publishing original research articles and review articles on experimental and modelling research at laboratory, field, farm, landscape, and industrial levels. AOAS aims to maximize the quality of the agricultural sector across the globe with emphasis on the Arabian countries by focusing on publishing the high-quality applicable researches, in addition to the new methods and frontiers leading to maximizing the quality and quantity of both plant and animal yield and final products.