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首页> 外文期刊>African Journal of Biotechnology >Correlation between morphological characters and estimated bunch weight of the Tropical banana cultivar
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Correlation between morphological characters and estimated bunch weight of the Tropical banana cultivar

机译：热带香蕉品种形态特征与估计束重的相关性

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The objective of this?study was?to?measure?and?identify the?variables?that have more influence on?bunch weight (BW),?and?determine?a?statistical model for predicting yield for the Tropical banana cultivar (cv.). The experiment consisted of a uniformity trial, conducted in Guanambi, Bahia, with a total of 360 plants of the Tropical cultivar YB42-21 (AAAB) in an area of 2,160 m2. The vegetative characteristics such as plant height, pseudostem circumference, number of children (suckers) produced and number of green leaves at flowering and harvest, and yield characteristics such as BW, number of hands and fruits, weight of the second hand, length and diameter of the fruit were assessed in two growing seasons. In the evaluation, each plant was considered as a basic unit with an area of 6 m2, thus, there was a total of 360 basic units. The variables that correlated with the weight of the bunch are: average fruit weight (FW),?weight of the rachis, number?of fruits per?bunch, fruit length (FL) and number?of?leaves at?harvest. The methodology of multiple linear regression (MLR) was used to estimate bunch weight. The most significant variables that were measured included number of leaves at harvest, number of fruits per bunch, FW, FL, rachis weight (RW) and stalk length (SL), generating the following prediction equation: BW= -5.249 + 0.11NLH + 0.066NFB + 0.046FW + 0.183FL + 2.039RW -0.011LS.
机译：这项研究的目的是测量和确定对束重（BW）有更大影响的变量，并确定用于预测热带香蕉品种（cv）产量的统计模型。 ）。该实验包括在巴伊亚州瓜纳比姆进行的均匀性试验，该试验在2160平方米的面积中对360种热带品种YB42-21（AAAB）进行了种植。营养特性，例如植物高度，假茎周长，生产的子代数（吸盘）和开花和收获时的绿叶数量，以及产量特性，例如体重，双手和果实的数量，二手重量，长度和直径在两个生长季节评估了其中的果实。在评估中，每个植物都被视为面积为6平方米的基本单位，因此共有360个基本单位。与束重相关的变量是：平均果实重量（FW）、?的重量，每束果实的数量，果实长度（FL）和收获时的叶片数量。多元线性回归（MLR）方法用于估计束重。所测量的最重要变量包括收获时的叶子数量，每束水果的数量，FW，FL，轮枝重量（RW）和茎长（SL），从而生成以下预测方程：BW = -5.249 + 0.11NLH + 0.066NFB + 0.046FW + 0.183FL + 2.039RW -0.011LS。

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