Assessment of Maize Yield (S.C. 704) Responses to Appropriate Planting Date and Deficit Irrigation Using Multivariate Analysis
Arid and semiarid climate in many parts of Iran dictates the employment of agronomic practices. With this approach, a statistical experiment was set up in split-plot based on randomized complete block design with three replicates during 2015 and 2016 cropping seasons. The experiment took place in Co...
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Islamic Azad University, Tabriz Branch
2024-02-01
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| Series: | Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī |
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| Online Access: | https://sanad.iau.ir/journal/jcep/Article/956536 |
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| author | Babak Mirshekarnezhad Farzad Paknejad Mohammad Nabi Ilkaee |
| author_facet | Babak Mirshekarnezhad Farzad Paknejad Mohammad Nabi Ilkaee |
| author_sort | Babak Mirshekarnezhad |
| collection | DOAJ |
| description | Arid and semiarid climate in many parts of Iran dictates the employment of agronomic practices. With this approach, a statistical experiment was set up in split-plot based on randomized complete block design with three replicates during 2015 and 2016 cropping seasons. The experiment took place in College of Agriculture and Natural Resources, University of Tehran. Experimental treatments scheduled on three planting dates: (21st April, 11th May and 31th May) and four irrigation regimes: I100: 100%ETc, I80: 80%ETc, I60: 60%ETc and I40: 40%ETc, based on plant water need. The highest value of water productivity of economical yield (1.19 kg.m-3) and the greatest value of water productivity of biological yield (1.03 kg.m-3) obtained in early-planting date in both years, respectively. Path analysis showed that ear weight with direct effect (1.27) and water productivity of biological yield (0.973), positively contributed to the final yield determination under irrigation regimes I100 and I60, respectively. According to principal component analysis (PCA), the variables such as grain yield, ear weight, biological yield, total number of grain, kernel weight and harvest index as agronomic traits in PC1 and water productivity of economical yield and biological yield as physiological traits in PC2 were accounted for 70% of the final yield variations in total. Due to interactions of planting date and irrigation level on the grain yield (p ≤ 0.01), early planting of grain maize and deficit irrigation management as early season strategies will have great potential to achieve optimal yield and higher water productivity by mitigating early abiotic factors. |
| format | Article |
| id | doaj-art-3349414500f84cdaa009b42fcfa7dcd6 |
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| issn | 2538-1822 2476-731X |
| language | fas |
| publishDate | 2024-02-01 |
| publisher | Islamic Azad University, Tabriz Branch |
| record_format | Article |
| series | Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī |
| spelling | doaj-art-3349414500f84cdaa009b42fcfa7dcd62025-08-20T02:38:26ZfasIslamic Azad University, Tabriz BranchIkufīziyuluzhī-i Giyāhān-i Zirā̒ī2538-18222476-731X2024-02-011662147162Assessment of Maize Yield (S.C. 704) Responses to Appropriate Planting Date and Deficit Irrigation Using Multivariate AnalysisBabak Mirshekarnezhad0Farzad Paknejad1Mohammad Nabi Ilkaee2Ph.D. Graduated in Agronomy, Agrometeorology and Synoptic Office of Karaj, Meteorological Organization, Tehran, IranProfessor, Department of Agronomy, Karaj Branch, Islamic Azad University, Karaj, IranAssociate Professor, Department of Agronomy, Karaj Branch, Islamic Azad University, Karaj, IranArid and semiarid climate in many parts of Iran dictates the employment of agronomic practices. With this approach, a statistical experiment was set up in split-plot based on randomized complete block design with three replicates during 2015 and 2016 cropping seasons. The experiment took place in College of Agriculture and Natural Resources, University of Tehran. Experimental treatments scheduled on three planting dates: (21st April, 11th May and 31th May) and four irrigation regimes: I100: 100%ETc, I80: 80%ETc, I60: 60%ETc and I40: 40%ETc, based on plant water need. The highest value of water productivity of economical yield (1.19 kg.m-3) and the greatest value of water productivity of biological yield (1.03 kg.m-3) obtained in early-planting date in both years, respectively. Path analysis showed that ear weight with direct effect (1.27) and water productivity of biological yield (0.973), positively contributed to the final yield determination under irrigation regimes I100 and I60, respectively. According to principal component analysis (PCA), the variables such as grain yield, ear weight, biological yield, total number of grain, kernel weight and harvest index as agronomic traits in PC1 and water productivity of economical yield and biological yield as physiological traits in PC2 were accounted for 70% of the final yield variations in total. Due to interactions of planting date and irrigation level on the grain yield (p ≤ 0.01), early planting of grain maize and deficit irrigation management as early season strategies will have great potential to achieve optimal yield and higher water productivity by mitigating early abiotic factors.https://sanad.iau.ir/journal/jcep/Article/956536path analysisharvest indexwater productivityagronomic traitsear weight |
| spellingShingle | Babak Mirshekarnezhad Farzad Paknejad Mohammad Nabi Ilkaee Assessment of Maize Yield (S.C. 704) Responses to Appropriate Planting Date and Deficit Irrigation Using Multivariate Analysis Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī path analysis harvest index water productivity agronomic traits ear weight |
| title | Assessment of Maize Yield (S.C. 704) Responses to Appropriate Planting Date and Deficit Irrigation Using Multivariate Analysis |
| title_full | Assessment of Maize Yield (S.C. 704) Responses to Appropriate Planting Date and Deficit Irrigation Using Multivariate Analysis |
| title_fullStr | Assessment of Maize Yield (S.C. 704) Responses to Appropriate Planting Date and Deficit Irrigation Using Multivariate Analysis |
| title_full_unstemmed | Assessment of Maize Yield (S.C. 704) Responses to Appropriate Planting Date and Deficit Irrigation Using Multivariate Analysis |
| title_short | Assessment of Maize Yield (S.C. 704) Responses to Appropriate Planting Date and Deficit Irrigation Using Multivariate Analysis |
| title_sort | assessment of maize yield s c 704 responses to appropriate planting date and deficit irrigation using multivariate analysis |
| topic | path analysis harvest index water productivity agronomic traits ear weight |
| url | https://sanad.iau.ir/journal/jcep/Article/956536 |
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