作物学报2024，Vol.50Issue(1)：32-41,10.DOI:10.3724/SP.J.1006.2024.34050
花生籽仁蔗糖含量遗传模型分析
Analysis of genetic model of sucrose content in peanut
摘要
Abstract
Peanut(Arachis hypogaea L.)is one of the important cash crops in China,and about 40%of peanuts are used for food production.The sucrose content was positively correlated with the flavor and taste of peanut and its products,thus increasing su-crose content in kernel was significant for the promotion of peanut quality.In this study,two F2:3 populations(NYBP×SYT5-1 and 19-1934×JHT1)were constructed to investigate the genetic model of sucrose content,and analyze the correlations between su-crose content with oil content,protein content,and other seed traits.The results showed that the sucrose contents of peanut kernel in two populations were continuously distributed and abundantly varied,and the transgressive segregation phenomenon were ob-served.In the two populations,sucrose content was significantly negatively correlated with oil content but significantly positively correlated with protein content.However,the correlations between sucrose content and kernel length,kernel width,and 100-kernel weight were inconsistent.The genetic analysis in two populations showed that the sucrose content in peanut kernel was mainly regulated by two pairs of main genes with the additive effect and dominant effect.There was the interaction between the two main genes,as well as the additive effect.This study initially reveals the genetic regulation of sucrose content in peanut ker-nels,which is beneficial for the breeding of edible peanut varieties and the cultivation of special varieties.关键词
花生/蔗糖含量/含油量/相关性分析/遗传模型Key words
peanut/sucrose content/oil content/correlation analysis/genetic model引用本文复制引用
郅晨阳,王志慧,淮东欣,洪彦彬,姜慧芳,雷永,廖伯寿,薛晓梦,吴洁,李雄才,王瑾,晏立英,王欣,陈玉宁,康彦平..花生籽仁蔗糖含量遗传模型分析[J].作物学报,2024,50(1):32-41,10.基金项目
本研究由广东省重点领域研发计划项目(2022B0202060004),湖北省重点研发计划项目(2021BBA077),河北省重点研发项目(21326316D)和中国农业科学院科技创新工程项目(CAAS-ASTIP-2021-OCRI)资助. This study was supported by the Key Area Research and Development Program of Guangdong Province(2022B0202060004),the Key Area Research and Development Program of Hubei Province(2021BBA077),the Key Area Research and Development Program of Hebei Province(21326316D),and the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2021-OCRI). （2022B0202060004）
