南疆陆地棉农艺性状与皮棉产量性状的遗传贡献及决策系数分析

研究陆地棉亲本及F1组合农艺性状与皮棉产量性状的遗传,为育种工作者对某些性状的选择和改良提供参考依据.采用加性-显性及其与环境互作的遗传模型对130个陆地棉品种(系)及其206个F1组合的4个农艺性状和4个产量性状的观察结果进行了遗传贡献分析和决策系数分析.分析结果显示,这些性状具有丰富的遗传多样性,亲本的8个性状的变异系数在5.54％～50.83％之间,F1组合则在3.96％～55.87％之间.农艺性状(除第一果枝节位对衣分外)对产量性状的加性贡献率均达到极显著水平(贡献率在4％～100％),五瓣铃率和株高对单株铃数和铃重的加性贡献率和显性×环境互作贡献率均达0.01以上的正向极显著水平.遗...

Full description

Saved in:
Bibliographic Details
Published in作物学报 Vol. 50; no. 6; pp. 1486 - 1502
Main Authors 李长喜, 董占鹏, 关永虎, 刘金伟, 李航, 梅拥军
Format Journal Article
LanguageChinese
Published 塔里木大学农学院,新疆阿拉尔 843300 12.06.2024
Subjects
陆地棉
genetic contribution analysis
genetic diversity
农艺性状
遗传多样性
遗传贡献分析
upland cotton
产量性状
yield traits
agronomic characters
decision coe-fficient analysis
决策系数分析
Online AccessGet full text
ISSN0496-3490
DOI10.3724/SP.J.1006.2024.34157

Cover

Abstract 研究陆地棉亲本及F1组合农艺性状与皮棉产量性状的遗传,为育种工作者对某些性状的选择和改良提供参考依据.采用加性-显性及其与环境互作的遗传模型对130个陆地棉品种(系)及其206个F1组合的4个农艺性状和4个产量性状的观察结果进行了遗传贡献分析和决策系数分析.分析结果显示,这些性状具有丰富的遗传多样性,亲本的8个性状的变异系数在5.54％～50.83％之间,F1组合则在3.96％～55.87％之间.农艺性状(除第一果枝节位对衣分外)对产量性状的加性贡献率均达到极显著水平(贡献率在4％～100％),五瓣铃率和株高对单株铃数和铃重的加性贡献率和显性×环境互作贡献率均达0.01以上的正向极显著水平.遗传效应中受加性效应控制有第一果枝高度、株高、五瓣铃率、铃重和衣分,其中衣分为最大.株高除加性效应较小外,其显性效应、加性×环境互作效应、显性×环境互作效应和互作广义遗传率均为最大.确定了提高陆地棉杂交种后代单株皮棉产量的主要决策性状和限制性状.陆地棉变异系数幅度较大;五瓣铃率和株高对提高单株铃数和铃重起着更为重要的作用;单株铃数、铃重和衣分是提高单株皮棉产量的主要决策性状.
AbstractList 研究陆地棉亲本及F1组合农艺性状与皮棉产量性状的遗传,为育种工作者对某些性状的选择和改良提供参考依据.采用加性-显性及其与环境互作的遗传模型对130个陆地棉品种(系)及其206个F1组合的4个农艺性状和4个产量性状的观察结果进行了遗传贡献分析和决策系数分析.分析结果显示,这些性状具有丰富的遗传多样性,亲本的8个性状的变异系数在5.54％～50.83％之间,F1组合则在3.96％～55.87％之间.农艺性状(除第一果枝节位对衣分外)对产量性状的加性贡献率均达到极显著水平(贡献率在4％～100％),五瓣铃率和株高对单株铃数和铃重的加性贡献率和显性×环境互作贡献率均达0.01以上的正向极显著水平.遗传效应中受加性效应控制有第一果枝高度、株高、五瓣铃率、铃重和衣分,其中衣分为最大.株高除加性效应较小外,其显性效应、加性×环境互作效应、显性×环境互作效应和互作广义遗传率均为最大.确定了提高陆地棉杂交种后代单株皮棉产量的主要决策性状和限制性状.陆地棉变异系数幅度较大;五瓣铃率和株高对提高单株铃数和铃重起着更为重要的作用;单株铃数、铃重和衣分是提高单株皮棉产量的主要决策性状.
Abstract_FL To study the inheritance of agricultural characteristics and lint yield traits in upland cotton parents and F1 crosses can provide the reference for breeding workers to select and improve certain traits.Four agronomic characters and four yield traits of 130 varieties(lines)and their 206 F1 crosses of upland cotton were analyzed on additive and effects by a genetic model with addi-tive,dominance,and their interaction effects with the environment,genetic contribution analysis and decision coefficient analysis were conducted on the observation results.The results showed that these traits had rich genetic diversity with the coefficient of variation of the eight traits of the parents ranging from 5.54％to 50.83％,and the F1 crosses ranging from 3.96％to 55.87％.The additive contribution rate of agronomic traits(except for the first fruit branch node position to yield)to yield traits reached a very significant level(contribution rate was 4％-100％),and the additive contribution rate and dominant contribution rate of five petal boll rate and plant height to the boll number and boll weight and the contribution rate of dominant × environmental interaction reached a positive and significant level above 0.01.The genetic effects controlled by additive effects included the height of the first fruit branch,plant height,five petal boll rate,boll weight,and lint percentage,with lint percentage being the largest.Except for the small additive effect,plant height exhibits significant differences in dominant and additive effects × environmental interac-tion effects,dominance × environmental interaction effect and the generalized heritability of interaction were the maximum.The main decision-making and limiting traits for improving the lint yield in hybrid offspring of upland cotton had been identified.The coefficient of variation of upland cotton was relatively large.The five petal boll rate and plant height played a more important role in increasing the boll number and boll weight per plant.The boll number,boll weight,and lint percentage were the main deci-sion-making traits for increasing the lint yield.
Author 刘金伟
李航
董占鹏
李长喜
关永虎
梅拥军
AuthorAffiliation 塔里木大学农学院,新疆阿拉尔 843300
AuthorAffiliation_xml – name: 塔里木大学农学院,新疆阿拉尔 843300
Author_FL MEI Yong-Jun
LI Chang-Xi
DONG Zhan-Peng
LI Hang
GUAN Yong-Hu
LIU Jin-Wei
Author_FL_xml – sequence: 1
  fullname: LI Chang-Xi
– sequence: 2
  fullname: DONG Zhan-Peng
– sequence: 3
  fullname: GUAN Yong-Hu
– sequence: 4
  fullname: LIU Jin-Wei
– sequence: 5
  fullname: LI Hang
– sequence: 6
  fullname: MEI Yong-Jun
Author_xml – sequence: 1
  fullname: 李长喜
– sequence: 2
  fullname: 董占鹏
– sequence: 3
  fullname: 关永虎
– sequence: 4
  fullname: 刘金伟
– sequence: 5
  fullname: 李航
– sequence: 6
  fullname: 梅拥军
BookMark eNotkMtKAlEcxs_CIDPfoH2rmf7nMnNmliHdRCjI1nI8zkQRIzSI0aogppTKNimJRNHCVSIYEdbjzMxx3qIJW33wW3y3JZTx6p6D0AoGnXLC1vb39KKOAUydAGE6ZdjgGZQFZpsaZTYsorzvH1WBYs7AsuwsKkd3PdUNkqcgGozjt1YUDGataXwxVO3P8Ote9UcpDKfD5Lozh6p_lVz2wp-X2ceruh1FnXYUTNR7V02-48dxdBPEzw_LaMEVJ76T_9ccOtjcKBe2tdLu1k5hvaT5GAhohs2qWGBqONRyXc6kqFFi2dI1JKeCgOOCtHBaVDrcrBkCp6MkNjE2waFcEppDq3PfpvBc4R1WjuuNUy9NrJw36s2z6t8JYAIG-gt9bnD_
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.3724/SP.J.1006.2024.34157
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
DocumentTitle_FL Genetic contribution and decision coefficient analysis of agronomic characters and lint yield traits of upland cotton in southern Xinjiang
EndPage 1502
ExternalDocumentID zuowxb202406010
GroupedDBID -04
23M
2B.
4.4
4A8
5GY
5XA
5XE
92G
92I
93N
AAHBH
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CHDYS
CS3
CW9
EBS
EJD
GROUPED_DOAJ
P2P
PSX
RIG
TCJ
TGD
U1G
U5N
ID FETCH-LOGICAL-s1020-594b1a135e38ff74cad3289cf5c73a20ef0c81408ce76d5a1202c161160e37c23
ISSN 0496-3490
IngestDate Thu May 29 04:05:30 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 6
Keywords 陆地棉
genetic contribution analysis
genetic diversity
农艺性状
遗传多样性
遗传贡献分析
upland cotton
产量性状
yield traits
agronomic characters
decision coe-fficient analysis
决策系数分析
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1020-594b1a135e38ff74cad3289cf5c73a20ef0c81408ce76d5a1202c161160e37c23
PageCount 17
ParticipantIDs wanfang_journals_zuowxb202406010
PublicationCentury 2000
PublicationDate 2024-06-12
PublicationDateYYYYMMDD 2024-06-12
PublicationDate_xml – month: 06
  year: 2024
  text: 2024-06-12
  day: 12
PublicationDecade 2020
PublicationTitle 作物学报
PublicationTitle_FL Acta Agronomica Sinica
PublicationYear 2024
Publisher 塔里木大学农学院,新疆阿拉尔 843300
Publisher_xml – name: 塔里木大学农学院,新疆阿拉尔 843300
SSID ssib031740889
ssib002263356
ssib051369771
ssj0037550
ssib001101042
Score 2.3871949
Snippet 研究陆地棉亲本及F1组合农艺性状与皮棉产量性状的遗传,为育种工作者对某些性状的选择和改良提供参考依据.采用加性-显性及其与环境互作的遗传模型对130个陆地棉品种(系)及...
SourceID wanfang
SourceType Aggregation Database
StartPage 1486
Title 南疆陆地棉农艺性状与皮棉产量性状的遗传贡献及决策系数分析
URI https://d.wanfangdata.com.cn/periodical/zuowxb202406010
Volume 50
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  issn: 0496-3490
  databaseCode: DOA
  dateStart: 20210101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.doaj.org/
  omitProxy: true
  ssIdentifier: ssj0037550
  providerName: Directory of Open Access Journals
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR1Na9RANLT14kUUFb_pwTlJapL5yMwx2c1SCoqHFnor2Wyipy3YFqUnBVltUevFFksRxUNPlkJFRAX_THe3_Re-95JN07LgxyVk3rz35n3MZN5M5sOybpqMp7qpHDtTWWbDV7Jp6zR1bYVnYRmT8tjD3ch37qrJGTE1K2dHRn9VVi0tLTYnkuWh-0r-x6sAA7_iLtl_8GzJFADwDv6FJ3gYnn_lYxZJpuvM-CzymVFMKxYZZgy9SGZqLHRYpFjAmTaErBAYaUyGAWZphwVErgMWApVgIeRGxDBgQVQhF0iCyMAf8BvDyIlKC8JxSTCgqrHAwUJDwQKXkGvEWSITIMwFCzlmBXVUBF4gGYZYhJGkBeBo0gsgEcsv_xxE1VRKnVTzUdSAlAVWAeFDEYEc1CxiUCcVDfFukKnQMEcomhkX1c7ti9KDvUClxhEK5EiSWaF4YDQkApToGArAdGEw4JgbwzSqUy2esOmOorJxkOhgOzEwdI1EBpNpyhJk8VK90qklhGpA4EHjIUKS71j90KQ0JMOiWgCCEbe04NxxKj2DMMrmojB10Y1Jp9Jcq30SDHhVJb6BEYA3rO_kvifw7_29iSlcOoPLdzwxAUFOfoD4iVPJl5fmHz1uIgoe6OOMWqc86FadypwGxeMuDvcrv-09xSvnIULsKnCZ3SAtXa5gPFKu0eK-pCuWS33zva8o6e1hctLGu3YWt-9XYsTps9aZYnA3HuQt9Zw1svzgvDXdfbXRX-8cvut0t3Z7n1a6na2Dle-9J9v91a_73173N3cAuP99-_D5Wg7sbz47fLqx__PDwZeP_Zc73bXVbmev_3m9v_ej93a3-6LTe__mgjXTiKZrk3Zxl4m94OIMjTSi6cYulynXWeaLJG5xT5skk4kP30MnzZwED5_TSeqrloxd0CqB0ZirnJT7iccvWmPt-XZ6yRqHTjaWQsdK4-QBjzWYuKX8JHZ0S-rMXLbGCyvMFd-qhbkT7rryZ5Sr1umjJnDNGlt8uJReh_h7sXmDfPwbS2GnYw
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%8D%97%E7%96%86%E9%99%86%E5%9C%B0%E6%A3%89%E5%86%9C%E8%89%BA%E6%80%A7%E7%8A%B6%E4%B8%8E%E7%9A%AE%E6%A3%89%E4%BA%A7%E9%87%8F%E6%80%A7%E7%8A%B6%E7%9A%84%E9%81%97%E4%BC%A0%E8%B4%A1%E7%8C%AE%E5%8F%8A%E5%86%B3%E7%AD%96%E7%B3%BB%E6%95%B0%E5%88%86%E6%9E%90&rft.jtitle=%E4%BD%9C%E7%89%A9%E5%AD%A6%E6%8A%A5&rft.au=%E6%9D%8E%E9%95%BF%E5%96%9C&rft.au=%E8%91%A3%E5%8D%A0%E9%B9%8F&rft.au=%E5%85%B3%E6%B0%B8%E8%99%8E&rft.au=%E5%88%98%E9%87%91%E4%BC%9F&rft.date=2024-06-12&rft.pub=%E5%A1%94%E9%87%8C%E6%9C%A8%E5%A4%A7%E5%AD%A6%E5%86%9C%E5%AD%A6%E9%99%A2%2C%E6%96%B0%E7%96%86%E9%98%BF%E6%8B%89%E5%B0%94+843300&rft.issn=0496-3490&rft.volume=50&rft.issue=6&rft.spage=1486&rft.epage=1502&rft_id=info:doi/10.3724%2FSP.J.1006.2024.34157&rft.externalDocID=zuowxb202406010
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fzuowxb%2Fzuowxb.jpg