Adriel Carlos da Silva, Felipe V. Salvador, M. H. Souza, Tiago de Souza Marçal, Fabíola dos Santos Dias, Vinicius Lopes Mello, P. Carneiro, J. Carneiro
{"title":"Selection of common bean parents and segregating populations targeting fusarium wilt resistance and grain yield","authors":"Adriel Carlos da Silva, Felipe V. Salvador, M. H. Souza, Tiago de Souza Marçal, Fabíola dos Santos Dias, Vinicius Lopes Mello, P. Carneiro, J. Carneiro","doi":"10.33158/asb.r173.v9.2023","DOIUrl":null,"url":null,"abstract":"The present work aimed to select populations for the breeding of common bean targeting fusarium wilt resistance and grain yield. Twelve carioca bean lines, which mainly differ in fusarium wilt resistance and grain yield, were crossed in a 6x6 partial diallel scheme. The parents and their 36 F1’s hybrids were evaluated for fusarium wilt severity caused by FOP isolate UFV 01 (FWS), and grain yield (YIELD). 34 F4’s populations, 12 parents and three other lines were also evaluated for grain yield per plant. The data of F1's parents and hybrids were submitted to diallel analysis. Using the grain yield data per plant, the potential of the 34 F4’s populations was predicted by the Jinks and Pooni method (1976). In the diallel analysis, BRSMG Talismã, CVIII 8511, BRS Pérola, VC 25 and VC 13 stood out in terms of the frequency of favorable alleles for FWS. Except for BRSMG Uai and IAC Formoso, these lines presented the most dominant genes associated in Fusarium wilt resistance. For YIELD, there was a predominance of dominant genes determining higher yield. The 20 F4’s populations with the highest potential included the best 12 of the 20 populations, based on diallel analysis for YIELD. Thus, the 12 populations received the addition of four that were highlighted only by the methodology of Jinks and Pooni (1976), and four based on diallel analysis, which totaled 20 populations. The use of information from more advanced inbreeding generations in complementarity with those of diallel is a promising strategy.","PeriodicalId":297313,"journal":{"name":"Agronomy Science and Biotechnology","volume":"42 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agronomy Science and Biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33158/asb.r173.v9.2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The present work aimed to select populations for the breeding of common bean targeting fusarium wilt resistance and grain yield. Twelve carioca bean lines, which mainly differ in fusarium wilt resistance and grain yield, were crossed in a 6x6 partial diallel scheme. The parents and their 36 F1’s hybrids were evaluated for fusarium wilt severity caused by FOP isolate UFV 01 (FWS), and grain yield (YIELD). 34 F4’s populations, 12 parents and three other lines were also evaluated for grain yield per plant. The data of F1's parents and hybrids were submitted to diallel analysis. Using the grain yield data per plant, the potential of the 34 F4’s populations was predicted by the Jinks and Pooni method (1976). In the diallel analysis, BRSMG Talismã, CVIII 8511, BRS Pérola, VC 25 and VC 13 stood out in terms of the frequency of favorable alleles for FWS. Except for BRSMG Uai and IAC Formoso, these lines presented the most dominant genes associated in Fusarium wilt resistance. For YIELD, there was a predominance of dominant genes determining higher yield. The 20 F4’s populations with the highest potential included the best 12 of the 20 populations, based on diallel analysis for YIELD. Thus, the 12 populations received the addition of four that were highlighted only by the methodology of Jinks and Pooni (1976), and four based on diallel analysis, which totaled 20 populations. The use of information from more advanced inbreeding generations in complementarity with those of diallel is a promising strategy.