Abstract
The wheat (Triticum aestivum L.) is an important staples crop of Pakistan and the Central Asia. The present research is an effort to clarify the super wheat genotypes, which were carried out at the experimental field area of Lasbela University of Agriculture, Water and Marine Sciences (LUAWMS), Pakistan, in order to study the effect of intra-specific competition on individual plants of Wheat (variety Sahar 2006) during the 2013-2014 wheat growing season. The experiment was carried out in a randomized complete block design comprising of two rows spacing (15 and 30 cm) and broadcasting method of seeding with four replicates at a 30 days’ interval by destruction method. Final harvest was carried out at the end of growing season (150 days after seeding). The agronomic characteristics of wheat have shown non-significant response for effect of row spacing at final harvest. However, application of Gini Coefficient and Lorenz Curve clearly indicated the inequalities in plant height, number and length of spike and spikelet among the individual plants. The Gini values are more pronounced at mid-season harvest compared with final harvest. The results of present study explained the reasons of inequality in plant height and growth within the pure-line of wheat crop. Keywords: Gini Coefficient; Lorenz Curve; Physiological traits; Row spacing; Wheat http://dx.doi.org/10.19045/bspab.2020.90279
Highlights
S (LUAWMS), Pakistan, in order to study the effect of intra-specific competition on individual plants of Wheat during the 2013-2014 wheat growing season
The environmental conditions in Pakistan are very conducive for wheat cultivation, it is per hectare yield (2166.8 kg) is still less than many agriculturally advanced countries of the world [7]
The effect of intraspecific competition among the individual wheat plants were determined by least significant difference (LSD) tests
Summary
Wheat crop belong from the Poaceae family, globe. Its adaptation to different climatic is a self-pollinated and the most imperative situations is a key and to create it a cereal crop of the world. The variability among wheat for plants height as well as reproductive biomass was assessed by using the method Lorenz curve as well as Gini coefficient given by Weiner and Solberg, [19]. The cumulative fractions of individual plants (p) have been plotted considering the cumulative fraction of dependent variable L (p) such as plant height [20, 21] This curve corresponding with p and L(p) ranged from [po, L (po)], [p1, L(p1)], [pk, L( pk )], [pk + 1 = L (pk + 1)], having po = L (po) = 0 whereas pk + 1 = L (pk + 1) = 1. The Gini coefficient has been considered to have a minimum value = 0, as whole plants under study have similar height for example, whereas the maximum value of 1.0 is considered to be having an infinite population for all individuals, where one individual have a value of 0 as described by Weiner and Solberg [19].
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