Environment and crop management can play an important role in determining upland cotton (Gossypium hirsutum L.) fiber quality. An important quality parameter is fiber micronaire, which is an indirect measure of fiber linear density (fineness) and maturity, and it is affected by crop supply and partitioning of assimilates to cotton fruit. High micronaire occurs when there is an excess of assimilates because of good growing conditions and fruit number is low. Conversely low micronaire occurs when growing conditions are poor and fruit number is high. Little research has established the degree of impact of these variables in combination influencing micronaire. Two field experiments were conducted to generate variability in micronaire by changing planting time, cultivars, canopy size, and fruit load (boll number). From these experiments, a significant relationship (r² = 0.79) to predict micronaire was generated using temperature during crop fiber filling, leaf area index (LAI) at the start of crop fiber thickening, and the mass of individual bolls at harvest. Subsequent experiments in different seasons (included variations in planting time, fruit load, and water deficit during fiber thickening) successfully validated the relationship. Reasonable success was attained in predicting fiber linear density and maturity ratio independently and then used to calculate estimates of micronaire. Prediction of these quality attributes may offer more detailed information on the effects of environment and management influencing fiber quality affecting yarn quality. Overall, the ability to predict micronaire (and potentially its components) could be used to refine management decisions to improve fiber quality management prior to or at harvest time.

中文翻译：

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陆地棉马克隆值预测对环境和作物需求对水果生长的影响

环境和作物管理对陆地棉（Gossypium hirsutumL.) 纤维质量。一个重要的质量参数是纤维马克隆值，它是纤维线密度（细度）和成熟度的间接量度，它受作物供应和棉花果实同化物分配的影响。高马克隆值发生在由于良好的生长条件和果实数量低而导致的同化物过量时。相反，当生长条件差且果实数量多时，就会出现马克隆值偏低。很少有研究确定这些变量共同影响马克隆值的程度。进行了两次田间试验，通过改变种植时间、品种、冠层大小和果实负荷（铃数）来产生马克隆值的变异性。从这些实验中，显着的关系 ( r ²= 0.79）使用作物纤维填充期间的温度、作物纤维增厚开始时的叶面积指数 (LAI) 和收获时单个棉铃的质量来预测马克隆值。随后在不同季节进行的实验（包括种植时间、果实负荷和纤维增厚期间水分亏缺的变化）成功地验证了这种关系。在独立预测纤维线密度和成熟率方面取得了合理的成功，然后用于计算马克隆值的估计值。对这些质量属性的预测可以提供关于环境和管理影响纤维质量影响纱线质量的更详细信息。全面的，