灌溉条件下大豆产量构成因素与种子产量的关系

IF 0.5 Q4 AGRICULTURAL ECONOMICS & POLICY
Daria Galić Subašić, M. Jurišić, Andrijana Rebekić, M. Josipović, Dorijan Radočaj, I. Rapčan
{"title":"灌溉条件下大豆产量构成因素与种子产量的关系","authors":"Daria Galić Subašić, M. Jurišić, Andrijana Rebekić, M. Josipović, Dorijan Radočaj, I. Rapčan","doi":"10.18047/poljo.28.1.5","DOIUrl":null,"url":null,"abstract":"The study presents the results of a three-year experiment (2013–2015) that was carried out to determine a relationship between the soybean yield components and the seed yield under different irrigation treatments. The results indicated that the study year had the greatest effect on the number of nodes per plant (NNP), while an interaction between the irrigation and experiment year was also statistically significant. The highest average NNP was observed in 2015, being 33% higher when compared to the year 2014. The highest number of seeds per plant (NSP) was observed in 2015, being 20% and 31% higher when compared to 2013 and 2014. An abundant irrigation resulted in the highest NSP when compared to a rational and control treatment. Irrigation, study year, and their interaction did not have a statistically significant effect on the thousand seed weight (TSW) (g), but the lowest average TSW (g) was obtained in the control treatment of each study year. Regression models pertaining to the seed yield prediction in the control treatment and rational irrigation were not statistically significant. However, in the abundant irrigation, the regression model based on the TSW (g), NNP, and the NSP as the predictors provided for a statistically significant model seed yield prediction, but only the NSP was identified as a highly significant seed yield predictor.","PeriodicalId":44286,"journal":{"name":"Poljoprivreda","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions\",\"authors\":\"Daria Galić Subašić, M. Jurišić, Andrijana Rebekić, M. Josipović, Dorijan Radočaj, I. Rapčan\",\"doi\":\"10.18047/poljo.28.1.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study presents the results of a three-year experiment (2013–2015) that was carried out to determine a relationship between the soybean yield components and the seed yield under different irrigation treatments. The results indicated that the study year had the greatest effect on the number of nodes per plant (NNP), while an interaction between the irrigation and experiment year was also statistically significant. The highest average NNP was observed in 2015, being 33% higher when compared to the year 2014. The highest number of seeds per plant (NSP) was observed in 2015, being 20% and 31% higher when compared to 2013 and 2014. An abundant irrigation resulted in the highest NSP when compared to a rational and control treatment. Irrigation, study year, and their interaction did not have a statistically significant effect on the thousand seed weight (TSW) (g), but the lowest average TSW (g) was obtained in the control treatment of each study year. Regression models pertaining to the seed yield prediction in the control treatment and rational irrigation were not statistically significant. However, in the abundant irrigation, the regression model based on the TSW (g), NNP, and the NSP as the predictors provided for a statistically significant model seed yield prediction, but only the NSP was identified as a highly significant seed yield predictor.\",\"PeriodicalId\":44286,\"journal\":{\"name\":\"Poljoprivreda\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Poljoprivreda\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18047/poljo.28.1.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Poljoprivreda","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18047/poljo.28.1.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
引用次数: 0

摘要

本研究介绍了一项为期三年(2013-2015)的试验结果,该试验旨在确定不同灌溉处理下大豆产量组成部分与种子产量之间的关系。结果表明,研究年份对单株节数(NNP)的影响最大,灌溉年份与试验年份之间的交互作用也具有统计学意义。2015年的平均NNP最高,比2014年高出33%。单株种子数(NSP)最高的年份是2015年,比2013年和2014年分别高出20%和31%。与合理灌水和对照处理相比,充足灌水的NSP最高。灌溉、研究年份及其交互作用对千粒重(TSW) (g)无统计学显著影响,但各研究年份对照处理的平均TSW (g)最低。对照处理和合理灌溉对种子产量预测的回归模型无统计学意义。然而,在丰水条件下,以TSW (g)、NNP和NSP为预测因子的回归模型对种子产量的预测具有统计学显著性,但只有NSP是高度显著的预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions
The study presents the results of a three-year experiment (2013–2015) that was carried out to determine a relationship between the soybean yield components and the seed yield under different irrigation treatments. The results indicated that the study year had the greatest effect on the number of nodes per plant (NNP), while an interaction between the irrigation and experiment year was also statistically significant. The highest average NNP was observed in 2015, being 33% higher when compared to the year 2014. The highest number of seeds per plant (NSP) was observed in 2015, being 20% and 31% higher when compared to 2013 and 2014. An abundant irrigation resulted in the highest NSP when compared to a rational and control treatment. Irrigation, study year, and their interaction did not have a statistically significant effect on the thousand seed weight (TSW) (g), but the lowest average TSW (g) was obtained in the control treatment of each study year. Regression models pertaining to the seed yield prediction in the control treatment and rational irrigation were not statistically significant. However, in the abundant irrigation, the regression model based on the TSW (g), NNP, and the NSP as the predictors provided for a statistically significant model seed yield prediction, but only the NSP was identified as a highly significant seed yield predictor.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Poljoprivreda
Poljoprivreda AGRICULTURAL ECONOMICS & POLICY-
CiteScore
1.00
自引率
14.30%
发文量
13
审稿时长
15 weeks
期刊介绍: POLJOPRIVREDA“ (AGRICULTURE), a scientific-professional journal has been issued since 1995 by the Faculty of Agriculture in Osijek and Agricultural Institute Osijek . The journal is a successor of the former one „Science and practice in agriculture and food technology“ printed from 1982 to 1994. The journal „Poljoprivreda“ is known for publishing scientific and professional articles from all fields of agricultural science and profession. The papers are reviewed. Articles are categorized by two independent referees and approved by Editorial board and Editor – in – chief. Summaries of master"s and doctor"s theses are also published as well as other contributions by the special decisions of the Editorial board.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信