Character association and path analysis for yield improvement in fennel (Foeniculum vulgare Mill.)

M. Jat
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Abstract

A total of 18 genotypes of the fennel (Foeniculum vulgare Mill.) were evaluated for estimation of correlation and path analysis for yield improvement during Rabi season of 2016-17 at Mandor, Jodhpur, Rajasthan. Results indicated that the variation among genotypes was highest for biological yield (54.3-88.3 q ha-1), followed by seed yield (15.8-25.2 q ha-1). The analysis of genotypic (GC) and phenotypic correlations (PC) indicated that the seed yield per ha was significantly and positively correlated with seed yield per plant (GC r=0.978**; PC r=0.842**), number of seeds per umbel (GC r= 0.752**, PC r=0.505*) and number of umbels per plant (GC r=0.543*). Path coefficient analysis suggested that the highest positive direct effect on seed yield per ha was exerted by biological yield per ha (0.953) followed by the number of umbels per plant (0.484), harvest index (0.463), number of seeds per umbel (0.387), 1000-seed weight (0.289), oil content (0.150), days to maturity (0.102) and the number of umbellets per umbel (0.070). Therefore, it is inferred that for initiating breeding programmes of fennel, the primary emphasis should be given for selecting characters having a positive and higher magnitude of correlation and have direct effects on characters associated with higher yield.
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茴香(Foeniculum vulgare Mill.)增产的性状关联与通径分析
在拉贾斯坦邦焦特布尔的曼多尔,对18个茴香(Foeniculum vulgare Mill.)基因型进行了相关性估计和通径分析,以提高2016-17年拉比季节的产量。结果表明,不同基因型间生物产量差异最大(54.3 ~ 88.3 q ha-1),种子产量差异次之(15.8 ~ 25.2 q ha-1)。基因型(GC)和表型相关(PC)分析表明,每公顷种子产量与单株种子产量呈显著正相关(GC r=0.978**;PC r=0.842**)、每伞形花序种子数(GC r= 0.752**, PC r=0.505*)和每株伞形花序数(GC r=0.543*)。通径系数分析表明,对单株种子产量影响最大的是生物产量(0.953),其次是单株伞形花序数(0.484)、收获指数(0.463)、每伞形花序种子数(0.387)、千粒重(0.289)、含油量(0.150)、成熟期(0.102)和每伞形花序花序数(0.070)。因此,可以推断,在开展茴香育种计划时,应优先考虑选择具有较高正相关和直接影响高产性状的性状。
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