Artikel: Effects of drip irrigation nitrogen coupling on dry matter accumulation and yield of Summer Maize in arid areas of China
Field crops research. 2021 Dec. 01, v. 274
2021
Abstract: To explore the effects of irrigation and nitrogen on dry matter accumulation (DMA) and yield of summer maize in arid regions, field experiments were conducted in experimental plot in 2017 and 2018. There were three drip irrigation quotas (3000 m³/hm², ... ...
Abstract | To explore the effects of irrigation and nitrogen on dry matter accumulation (DMA) and yield of summer maize in arid regions, field experiments were conducted in experimental plot in 2017 and 2018. There were three drip irrigation quotas (3000 m³/hm², 3750 m³/hm², and 4500 m³/hm²) and four nitrogen levels (no nitrogen applied, 168 kg/hm², 306.5 kg/hm², and 444.5 kg/hm²) set in the experiment. The Richards model was used to fit the relationship of DMA and irrigation quantity or nitrogen level, and then the dynamics of DMA of maize were investigated. Furthermore, the effects of irrigation and nitrogen on maize grain yield were analyzed. Results showed that the maximum and average DMA rates in maize plants increased as irrigation quota increased from 3000 to 3750 m³/hm² and as the applied nitrogen increased from 0 to 306.5 kg/hm². Maize plants under the condition of irrigation 3750 m³/hm² together with nitrogen 306.5 kg/hm² showed the maximum dry matter growth rate (GRₘₐₓ), the maximum average dry matter growth rate (GRₐᵥg), the maximum duration of dry matter fast growth period, and the maximum DMA and grain yield. The maximum grain yield was up to 1.340 × 10⁴ kg/hm² and 1.291 × 10⁴ kg/hm² in 2017 and 2018, respectively. However, when the irrigation quota was increased to 4500 m³/hm² and the nitrogen application rate was up to 444.5 kg/ hm², GRₘₐₓ, GRₐᵥg, and yield of maize were all decreased with the increase of irrigation quantity, this law is reproducible between years. So the management practice of irrigation 3750 m³/hm² along with nitrogen 306.5 kg/hm² is optimal for maize production in the experimental region. Furthermore, a stepwise regression model was established to predict grain yield (Y₁) on the basis of the characteristic parameters of the Richards model, and the regression model was: Y₁ = 0.499YGRₘₐₓ+0.074GRₐᵥg-6.399x₂+2.25, R² = 0.803. The contribution rate of each characteristic parameter to yield prediction model from high to low was: YGRₘₐₓ>GRₐᵥg>x₂. GRₐᵥg was extremely positive correlated with the final DMA and yield of maize, the study would provide technical basis for the efficient utilization of water and nitrogen in arid regions. |
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Schlagwörter | Zea mays ; corn ; dry matter accumulation ; fertilizer rates ; grain yield ; irrigation rates ; microirrigation ; models ; nitrogen ; regression analysis ; research ; yield forecasting ; China |
Sprache | Englisch |
Erscheinungsverlauf | 2021-1201 |
Erscheinungsort | Elsevier B.V. |
Dokumenttyp | Artikel |
ZDB-ID | 435684-6 |
ISSN | 1872-6852 ; 0378-4290 |
ISSN (online) | 1872-6852 |
ISSN | 0378-4290 |
DOI | 10.1016/j.fcr.2021.108321 |
Datenquelle | NAL Katalog (AGRICOLA) |
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