Plant Population and Maize Grain Yield: A Global Systematic Review of Rainfed Trials

Crop Science

Haarhoff, Stephanus J.^1¹ 

[1] Dep. of Agronomy, Stellenbosch Univ., Private Bag X1, Matieland 7602, Stellenbosch, South Africa^1

关键词: CA;    conservation agriculture;    CT;    conventional tillage;    GRM;    general regression model;    NT;    no-tillage;   

DOI  :  10.2135/cropsci2018.01.0003

学科分类：农业科学（综合）

来源: Crop Science

【 摘 要 】

Maize (Zea mays L.) productivity has increased globally as a result of improved genetics and agronomic practices. Plant population and row spacing are two key agronomic factors known to have a strong influence on maize grain yield. A systematic review was conducted to investigate the effects of plant population on maize grain yield, differentiating between rainfall regions, N input, and soil tillage system (conventional tillage [CT] and no-tillage [NT]). Data were extracted from 64 peer-reviewed articles reporting on rainfed field trials, representing 13 countries and 127 trial locations. In arid environments, maize grain yield was low (mean maize grain yield = 2448 kg ha⁻¹) across all plant populations with no clear response to plant population. Variation in maize grain yield was high in semiarid environments where the polynomial regression (p n = 951) had a maximum point at ∼140,000 plants ha⁻¹, which reflected a maize grain yield of 9000 kg ha⁻¹. In subhumid environments, maize grain yield had a positive response to plant population (p r² = 0.19, p n = 2 018) production systems, the response of plant population to applied N was weaker than in medium-N-input (r² = 0.49, p n = 680) systems. There exists a need for more metadata to be analyzed to provide improved recommendations for optimizing plant populations across different climatic conditions and rainfed maize production systems. Overall, the importance of optimizing plant population to local environmental conditions and farming systems is illustrated.

【 授权许可】

CC BY