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AN EASY AND FAST METHOD TO ESTIMATE CYNARA CARDUNCULUS SEED YIELD BASED ON HEAD WEIGHT AND NUMBER

机译:基于头重和头数的简便快速估算洋蓟种子产量的方法

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This paper aims (a) to derive empirical relationships to predict cynara seed yield per head and per unitarea, avoiding laborious extraction of seeds from its complex inflorescence structure; (b) to determine the headweightdistribution per unit area; and (c) to estimate the range of Cynara cardunculus seed yield. We analyzed 16field experiments, varying in crop age and environmental conditions in Greece. Seed yield per head (SYhead) can beaccurately predicted as a linear function of dry head weight (Hw): SYhead = 0.429 · Hw – 2.9 (r2=0.96; n=617). Basedon this relationship, we developed a simple two-parameter equation to predict seed yield per unit area (SY): SY = HN ·(0.429 · μ – 2.9), where HN is the total number of heads per unit area and μ is the mean head weight (g head-1),respectively. The models were tested against current and published data (n=180 for head-level; n=35 for unit arealevelmodel), and proved to be valid under diverse environmental and management conditions. Attainable cynara seedyields ranged from 190 to 480 g m~(-2) y~(-1), on dry soils and on aquic soils (shallow ground-water level). This variationin seed yield was sufficiently explained by the analyses of head-weight distribution per unit area and variability ofseed/head weight ratio at head level. This work provides basal information of crop reproductive effort and reveals thegreat potential of cynara as a biomass and oil crop for bioenergy production.
机译:本文旨在(a)得出经验关系,以预测每头和每单位面积的cynara种子产量,避免繁琐地从其复杂的花序结构中提取种子; (b)确定每单位面积的头重分布; (c)估算Cynara小毛seed种子产量的范围。我们分析了16个田间试验,这些试验因希腊的作物年龄和环境条件而异。每头种子产量(SYhead)可以准确地预测为干头重量(Hw)的线性函数:SYhead = 0.429·Hw – 2.9(r2 = 0.96; n = 617)。基于这种关系,我们开发了一个简单的两参数方程式来预测单位面积的种子产量(SY):SY = HN·(0.429·μ– 2.9),其中HN是单位面积的穗数总数,μ是平均头重(g head-1)。针对当前和已发布的数据对模型进行了测试(最高水平为n = 180;单位面积水平模型为n = 35),并在各种环境和管理条件下被证明是有效的。在干燥土壤和潮土(浅水位)上,可获得的cynara种子产量在190至480 g m〜(-2)y〜(-1)之间。种子产量的这种变化通过分析单位面积的头重分布和头水平上的种子/头重比的变异性得到了充分的解释。这项工作提供了作物生殖工作的基础信息,并揭示了作为生物质和油料作物的赛纳拉的巨大潜力,可用于生物能源生产。

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