Genetic Dissection of Flowering and Plant Architectural Traits to Develop Early Maturing Compact Upland Cotton Genotypes for High-Density Planting

被引:0
|
作者
Supritha, D. S. Raj [1 ]
Patil, Rajesh S. [2 ]
Kasturi, Sai Valli Harshini [1 ]
Patil, Bhuvaneshwara R. [1 ]
机构
[1] Univ Agr Sci, Coll Agr, Dept Genet & Plant Breeding, Dharwad 580005, India
[2] Agr Res Stn, Hebballi Farm, Dharwad 580007, India
关键词
Earliness; Climate-resilient; Gene action; Biometrical genetics; Gene blocks; Breeding methods; GENERATION MEAN ANALYSIS; FIBER QUALITY TRAITS; PATH-ANALYSIS; YIELD; POPULATION; ATTRIBUTES; EARLINESS;
D O I
10.1007/s12042-024-09373-1
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Earliness in cotton is a highly valued trait that allows the crop to dodge late-season stress and facilitates efficient harvesting, ultimately benefiting farmers with optimal yield. Understanding the genetics of these complex traits is a prelude to designing extra-early maturing cotton genotypes. Two crosses with six generations (ESS-20 x FLT-25 and S-32 x FLT-25: P1, P2, F1, F2, BC1P1, and BC1P2) and one cross with five generations (NNDC-30 x NNDC-47: P1, P2, F1, F2, and F2:3) were field-evaluated for ten earliness and plant architecture traits in cotton. ANOVA presented significant generational differences for most traits. The inadequacy of the Additive-Dominance (A-D) model in explaining trait inheritance using scaling and joint-scaling tests highlighted the presence of epistatic gene actions. Further, the analysis of gene action unveiled the predominance of dominance effect [h] and dominance x dominance [l] epistatic effect, influencing the expression of most traits. Contrasting signs of [h] and [l] effects for these traits suggested the occurrence of duplicate epistasis across crosses. Therefore, population improvement strategies and heterosis breeding could be effective in designing extra-early maturing genotypes. All traits exhibited quantitative inheritance, with partial and overdominance favouring early maturity. Notably, days to flowering and boll opening, exhibited negative heterosis, suggesting the efficient development of short-duration cotton hybrids. Besides, the study also predicted less than one gene block for the majority of traits, suggesting a significant role of complex non-allelic interaction in trait expression. These findings offer valuable insights for strategizing efficient breeding methods to develop early-maturing cotton genotypes.
引用
收藏
页数:15
相关论文
共 39 条
  • [1] Application of a High-Density Single Nucleotide Polymorphism Genetic Map in Mapping Quantitative Trait Loci of Early-Maturing Traits in Upland Cotton
    Mao, Guangzhi
    Wei, Hengling
    Chen, Pengyun
    Xing, Feng
    Wang, Hantao
    AGRONOMY-BASEL, 2023, 13 (11):
  • [2] Maize COMPACT PLANT 3 regulates plant architecture and facilitates high-density planting
    Sheng, Huangjun
    Zhang, Han
    Deng, Hua
    Zhang, Zuxin
    Qiu, Fazhan
    Yang, Fang
    PLANT CELL, 2025, 37 (02):
  • [3] Construction of a High-Density Genetic Map and Its Application to QTL Identification for Fiber Strength in Upland Cotton
    Zhang, Zhen
    Ge, Qun
    Liu, Aiying
    Li, Junwen
    Gong, Juwu
    Shang, Haihong
    Shi, Yuzhen
    Chen, Tingting
    Wang, Yanling
    Palanga, Koffi Kibalou
    Muhammad, Jamshed
    Lu, Quanwei
    Deng, Xiaoying
    Tan, Yunna
    Liu, Ruixian
    Zou, Xianyan
    Rashid, Harun
    Iqbal, Muhammad Sajid
    Gong, Wankui
    Yuan, Youlu
    CROP SCIENCE, 2017, 57 (02) : 774 - 788
  • [4] High-density genetic linkage map construction by F2 populations and QTL analysis of early-maturity traits in upland cotton (Gossypium hirsutum L.)
    Li, Libei
    Zhao, Shuqi
    Su, Junji
    Fan, Shuli
    Pang, Chaoyou
    Wei, Hengling
    Wang, Hantao
    Gu, Lijiao
    Zhang, Chi
    Liu, Guoyuan
    Yu, Dingwei
    Liu, Qibao
    Zhang, Xianlong
    Yu, Shuxun
    PLOS ONE, 2017, 12 (08):
  • [5] PHENOTYPE MODIFICATION FOR HIGH-DENSITY PLANTING ACHIEVES EARLY MATURITY AND VERTICILLIUM WILT CONTROL IN ACALA COTTON
    WILHELM, S
    SAGEN, JE
    TIETZ, H
    PHYTOPATHOLOGY, 1983, 73 (06) : 963 - 963
  • [6] Population structure and genetic basis of the agronomic traits of upland cotton in China revealed by a genome-wide association study using high-density SNPs
    Huang, Cong
    Nie, Xinhui
    Shen, Chao
    You, Chunyuan
    Li, Wu
    Zhao, Wenxia
    Zhang, Xianlong
    Lin, Zhongxu
    PLANT BIOTECHNOLOGY JOURNAL, 2017, 15 (11) : 1374 - 1386
  • [7] Construction of a high-density mutant population of Chinese cabbage facilitates the genetic dissection of agronomic traits
    Sun, Xiaoxue
    Li, Xing
    Lu, Yin
    Wang, Shan
    Zhang, Xiaomeng
    Zhang, Kang
    Su, Xiangjie
    Liu, Mengyang
    Feng, Daling
    Luo, Shuangxia
    Gu, Aixia
    Fu, Yu
    Chen, Xueping
    Xuan, Shuxin
    Wang, Yanhua
    Xu, Donghui
    Chen, Shumin
    Ma, Wei
    Shen, Shuxing
    Cheng, Feng
    Zhao, Jianjun
    MOLECULAR PLANT, 2022, 15 (05) : 913 - 924
  • [8] Construction of a high-density genetic map using genotyping by sequencing (GBS) for quantitative trait loci (QTL) analysis of three plant morphological traits in upland cotton (Gossypium hirsutum L.)
    Qi, Haikun
    Wang, Ning
    Qiao, Wenqing
    Xu, Qinghua
    Zhou, Hong
    Shi, Jianbin
    Yan, Gentu
    Huang, Qun
    EUPHYTICA, 2017, 213 (04)
  • [9] Construction of a high-density genetic map using genotyping by sequencing (GBS) for quantitative trait loci (QTL) analysis of three plant morphological traits in upland cotton (Gossypium hirsutum L.)
    Haikun Qi
    Ning Wang
    Wenqing Qiao
    Qinghua Xu
    Hong Zhou
    Jianbin Shi
    Gentu Yan
    Qun Huang
    Euphytica, 2017, 213
  • [10] Identification of small effect quantitative trait loci of plant architectural, flowering, and early maturity traits in reciprocal interspecific introgression population in cotton
    Chandnani, Rahul
    Kim, Changsoo
    Patel, Jinesh D.
    Guo, Hui
    Shehzad, Tariq
    Wallace, Jason G.
    He, Daohua
    Zhang, Zhengsheng
    Adhikari, Jeevan
    Khanal, Sameer
    Chee, Peng W.
    Paterson, Andrew H.
    FRONTIERS IN PLANT SCIENCE, 2022, 13