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Quantifying soil moisture deficit effects on soybean yield and yield component distribution patterns

机译:量化土壤水分缺陷对大豆产量和产量分布图案的影响

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摘要

Soil moisture stress is the major abiotic stress factor that causes extensive losses to soybean production worldwide. Quantitative relationships between soil moisture deficit and yield components are needed to improve algorithms of the existing soybean models predictability. The objective of this study was to quantify water stress effects on various plant growth and reproductive traits using two soybean cultivars with distinct growth habits, indeterminate type, Asgrow AG5332 and determinate type, Progeny P5333RY. Plants grown in pots outdoors were moved into sunlit controlled environment at flowering stage. Five water stress treatments, 100, 80, 60, 40, and 20% of daily evapotranspiration of the control, were imposed at flowering and continued until maturity. Plant height and node numbers were recorded at 7-day intervals. Plant component dry weights, pod distribution patterns, and pod and seed yield were measured at the final harvest. A quadratic function best described the relationship between soil moisture content and midday leaf water potential and -1.0MPa leaf water potential was achieved at optimum soil moisture content of 0.15m(3) m(-3) soil. The middle region of the canopy in both cultivars accounted for about 60% of final yield compared to top and bottom regions. Branch pod yield was about threefold as high as mainstem yield, and it was more sensitive to moisture stress than mainstem yield. Harvest index declined linearly with decreasing soil moisture levels in the cultivars, and rate of decline in Asgrow AG5332 was lower (slope=1.68) than the decline of Progeny P5333RY (slope=2.42) m(3)m(-3). The functional relationships between soil moisture stress and yield components will be useful to aid farm managers in scheduling irrigation and to improve the functionality of soybean crop models under varying soil moisture conditions.
机译:土壤水分压力是主要的非生物压力因子,导致全球大豆生产的广泛损失。需要进行土壤湿度缺陷和产量组分之间的定量关系,以改善现有大豆模型可预测性的算法。本研究的目的是使用具有不同生长习性,不确定的类型,asgrow Ag5332和测定类型,后代P5333ry的两种大豆品种量化对各种植物生长和生殖性状的水分胁迫影响。在户外种植的盆栽植物在开花阶段进入阳光控制的环境。在开花中施加五种水胁迫处理,100,80,60,40和20%的每日蒸散量,并持续直至成熟。植物高度和节点数字以7天的间隔记录。在最终收获时测量植物组分干重,荚分布图案和豆荚和种子产量。二次函数最能描述土壤水分含量和午间叶片水势之间的关系,在最佳土壤水分含量为0.15米(3)米(3)土壤中实现-1.0MPa叶水电位。与顶部和底部区域相比,两种品种的冠层的中间区域占最终产量的约60%。分支荚产量大约三倍高,如主干产量高,对水分胁迫比主干产量更敏感。收获指数随着品种的土壤水分水平降低,asgrow Ag5332的下降率降低(斜坡= 1.68),比后代P5333RY(斜坡= 2.42)m(3)m(-3)下降。土壤水分胁迫和产量组分之间的功能关系将有助于援助农用管理人员调度灌溉,并改善不同土壤水分条件下的大豆作物模型的功能。

著录项

  • 来源
    《Irrigation Science》 |2018年第5期|共15页
  • 作者单位

    Mississippi State Univ Dept Plant &

    Soil Sci MS 39762 Mississippi State MS 39762 USA;

    Mississippi State Univ Dept Plant &

    Soil Sci MS 39762 Mississippi State MS 39762 USA;

    Mississippi State Univ Dept Plant &

    Soil Sci MS 39762 Mississippi State MS 39762 USA;

    Mississippi State Univ Dept Plant &

    Soil Sci MS 39762 Mississippi State MS 39762 USA;

    Mississippi State Univ Mississippi Water Resources Res Inst Box 9547 Mississippi State MS 39762 USA;

    Delta Res &

    Extens Ctr Box 197 Stoneville MS 38776 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业科学;
  • 关键词

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