2021
DOI: 10.31018/jans.v13isi.2811
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Performance of cotton genotype TCH 1819 to high density planting system under winter irrigated condition at the Western agroclimatic zone of Tamil Nadu

Abstract: Plant population is an important attribute in crop management practice. Increasing the plant density by decreasing the crop row spacing was an alternative strategy to optimize crop profit. Hence, the field trial was conducted at Tamil Nadu Agricultural University, Coimbatore, during the winter season of 2017 – 18 to study the effect of row spacing on the growth and yield of cotton genotype TCH 1819. The experimental design was Randomized Block Design (RBD) with seven spacing treatments viz., T1: 60 x 15 cm (1,… Show more

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Cited by 2 publications
(2 citation statements)
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“…[89] stated that when evaluating the biophysical parameters and the gaps in agricultural yield influencing system presentation, well-tested simulation models can be an extremely useful tool. Sowmiya et al [90] stated that They provide the resources to measure the elements affecting crop development, performance, and long-term variability of crop production in soil, which can decrease time-consuming and expensive operations. While Araya et al [91] and Kostkova et al [92] stated that these technologies are used to examine yield gaps in a variety of crops and can decrease the need for costly and need more time to evaluate field trials.…”
Section: Dong Et Almentioning
confidence: 99%
“…[89] stated that when evaluating the biophysical parameters and the gaps in agricultural yield influencing system presentation, well-tested simulation models can be an extremely useful tool. Sowmiya et al [90] stated that They provide the resources to measure the elements affecting crop development, performance, and long-term variability of crop production in soil, which can decrease time-consuming and expensive operations. While Araya et al [91] and Kostkova et al [92] stated that these technologies are used to examine yield gaps in a variety of crops and can decrease the need for costly and need more time to evaluate field trials.…”
Section: Dong Et Almentioning
confidence: 99%
“…Crop growth simulation models allows researchers to measure the impact of climate change on soil, crop growth, productivity and the long-term viability of agriculture. Cotton is extremely sensitive to adverse environmental conditions and field management [6]. Hence these technologies are used to examine yield gaps in a variety of crops and can decrease the need for costly and need more time to evaluate field trial.…”
Section: Introductionmentioning
confidence: 99%