Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s42106-020-00110-8 |
Predicting Kernel Growth of Maize under Controlled Water and Nitrogen Applications | |
Hammad, Hafiz Mohkum; Abbas, Farhat; Ahmad, Ashfaq; Bakhat, Hafiz Faiq; Farhad, Wajid; Wilkerson, Carol Jo; Fahad, Shah; Hoogenboom, Gerrit | |
通讯作者 | Hammad, HM |
来源期刊 | INTERNATIONAL JOURNAL OF PLANT PRODUCTION
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ISSN | 1735-6814 |
EISSN | 1735-8043 |
出版年 | 2020 |
卷号 | 14期号:4页码:609-620 |
英文摘要 | The availability of water and nitrogen (N) to maize during its flowering stage affects the growth of individual kernels. The present study reports the variability of maize kernel dry weight under different levels of water and N applications. Two consecutive-year experiments were conducted during 2009 and during 2010 to study the interaction between three irrigation regimes and five N application rates on weekly maize kernel growth. Logistic and regression equations were fitted to kernel moisture content and kernel dry weight as a function of thermal time (TT) during critical crop stages. Kernel moisture content and growth rate increased non-linearly from 1 week after silking to physiological maturity. By applying logistic function we were able to improve simulation of kernel moisture content and daily increases in kernel dry weight. The logistic curve showed kernel moisture contents linearly correlated with kernel dry weight. Similarly, regression analyses of kernel dry weight showed a significant positive correlation with kernel moisture content for the 2009 (R-2 = 0.86 NRMSE = 23%) and 2010 growing seasons (R-2 = 0.92; NRMSE = 19%). Therefore, the logistics curves derived from the observed data may be helpful for predicting daily kernel growth for the semi-arid conditions. The results showed that the optimal N rate for maximum kernel dry weight was 250 kg ha(-1)under 525 mm delta of water application ha(-1). This rate might be considered in formulating good agricultural practices for optimum maize kernel growth in the semi-arid regions. Thus, our results contribute to better understanding of best management practices of N fertilizer and irrigation water for optimum maize productivity under semiarid region. |
英文关键词 | Grain filling Grain yield Kernel growth rate Kernel moisture content Semi-arid region |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000560969800001 |
WOS关键词 | SOURCE-SINK RELATIONS ; REPRODUCTIVE GROWTH ; WEIGHT RESPONSE ; USE EFFICIENCY ; DRY-WEIGHT ; HYBRIDS ; YIELD ; WHEAT ; SIMULATION ; MANAGEMENT |
WOS类目 | Agronomy |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/325706 |
作者单位 | [Hammad, Hafiz Mohkum; Bakhat, Hafiz Faiq] COMSATS Univ Islamabad, Dept Environm Sci, Vehari Campus, Islamabad 61100, Pakistan; [Hammad, Hafiz Mohkum; Hoogenboom, Gerrit] Washington State Univ, AgWeatherNet, Prosser, WA 99350 USA; [Abbas, Farhat] Univ Prince Edward Isl, Fac Sustainable Design Engn, Charlottetown, PE C1A 4P3, Canada; [Ahmad, Ashfaq] Univ Agr Faisalabad, Dept Agron, Agroclimatol Lab, Faisalabad 38040, Pakistan; [Farhad, Wajid] Univ Coll Dera Murad Jamali Naseerabad, Subcampus Lasbela Univ Agr Water & Marine Sci, Uthal 90150, Pakistan; [Fahad, Shah] Univ Haripur, Dept Agron, Haripur 22620, Khyber Pakhtunk, Pakistan; [Fahad, Shah] Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan, Hubei, Peoples R China; [Hoogenboom, Gerrit] Univ Florida, Inst Sustainable Food Syst, Gainesville, FL 32611 USA |
推荐引用方式 GB/T 7714 | Hammad, Hafiz Mohkum,Abbas, Farhat,Ahmad, Ashfaq,et al. Predicting Kernel Growth of Maize under Controlled Water and Nitrogen Applications[J],2020,14(4):609-620. |
APA | Hammad, Hafiz Mohkum.,Abbas, Farhat.,Ahmad, Ashfaq.,Bakhat, Hafiz Faiq.,Farhad, Wajid.,...&Hoogenboom, Gerrit.(2020).Predicting Kernel Growth of Maize under Controlled Water and Nitrogen Applications.INTERNATIONAL JOURNAL OF PLANT PRODUCTION,14(4),609-620. |
MLA | Hammad, Hafiz Mohkum,et al."Predicting Kernel Growth of Maize under Controlled Water and Nitrogen Applications".INTERNATIONAL JOURNAL OF PLANT PRODUCTION 14.4(2020):609-620. |
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