DECIDING SOWING-WINDOW FOR MAIZE-BASED CROPPING SYSTEM IN ARID AND SEMIARID ENVIRONMENTS IN PUNJAB, PAKISTAN
Yazarlar (11)
Ghulam Abbas
Bahauddin Zakariya University, Pakistan
Bahauddin Zakariya University, Pakistan
Atıque Ur Rehman
Bahauddin Zakariya University, Pakistan
Bahauddin Zakariya University, Pakistan
Naeem Sarwar
Bahauddin Zakariya University, Pakistan
Bahauddin Zakariya University, Pakistan
Zartash Fatıma
Bahauddin Zakariya University, Pakistan
Bahauddin Zakariya University, Pakistan
Mukhtar Ahmed
Pmas-Arid Agriculture University Rawalpindi, Pakistan
Pmas-Arid Agriculture University Rawalpindi, Pakistan
Sajjad Hussaın
Bahauddin Zakariya University, Pakistan
Bahauddin Zakariya University, Pakistan
Muhammad Alı Raza
The Islamia University Of Bahawalpur, Pakistan
The Islamia University Of Bahawalpur, Pakistan
Prof. Dr. Mustafa KAN Kırşehir Ahi Evran Üniversitesi, Türkiye
Hülya Doğan Bozok Üniversitesi, Türkiye
Muhammad Azam Khan
In-Service Agriculture Training Institute Sargodha, Pakistan
In-Service Agriculture Training Institute Sargodha, Pakistan
Shakeel Ahmad
Bahauddin Zakariya University, Pakistan
Bahauddin Zakariya University, Pakistan
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Turkish Journal of Agriculture and Forestry (Q1) | ||
| Dergi ISSN | 1300-011X Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2023 |
| Cilt / Sayı / Sayfa | 47 / 6 / 1078–1098 | DOI | 10.55730/1300-011X.3149 |
| Makale Linki | https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=3148&context=agriculture | ||
| Özet |
| Crop growth models can be valuable tools for researchers, academia, extension educators, and policy makers/planners for the evaluation of sustainable and long-term husbandry practices. Determining the optimum sowing window, which can be determined using crop growth models, is imperative under changing climate conditions. Thus, the main objectives herein were to 1) assess the performance of the cropping system model-crop environment resource synthesis-maize model for hybrids and sowing dates in the spring and autumn, and 2) determine the optimum sowing window in 15 districts of Punjab, Pakistan. In the spring experiment, 3 hybrids (P-33M15, M-DK6525, and S-NK8441) were planted in the main plots and then on 5 different sowing dates (January 15th, February 5th, February 25th, March 15th, and April 5th), they were planted in the subplots. In the autumn experiment, 3 hybrids (P-30R50, M-DK6714, and S-NK6621) were planted in the main plots and then on 5 different sowing dates (June 15th, July 5th, July 25th, August 15th, and September 5th), they were planted in the subplots. Model calibration and evaluation results were better in the spring and autumn. Performance of the model was good for the grain yield in the autumn (mean percentage difference (MPD): 7.47% to 8.90%) compared to the spring (MPD: 9.42% to 11.72%). Model evaluation was good for the early sowing dates (January 15th and February 5th)(error range: 6.26% to 9.65%) compared to the delayed dates (February 25th to April 5th)(error range: 9.34 to 14.91%). In the autumn, the model showed better performance for the delayed sowing dates (February … |
| Anahtar Kelimeler |
| autumn | Cropping system model | DSSAT | grain yield | hybrid | maize | spring | Zea mays L. |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| SCOPUS | 11 |
| Google Scholar | 15 |