Crop phenology, thermal requirement, yield and fiber properties of cotton (Gossypium hirsutum) genotypes as influenced by different environments

Ban, Y. G.; Nawalkar, D. P.; Mote, B. M.; Kumar, Vineet; Narwade, A. V.

doi:10.1007/s40502-015-0153-8

Cited by 13 publications

(6 citation statements)

References 11 publications

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“…The study of high temperature stress under eld conditions, based on morpho-physiological traits was also reported in several crops like maize (Wu et al 2020), cotton (Saleem et al 2020), wheat (Schmidt et al 2020), pea (Mohapatra et al 2020), rice (Karwa et al 2020) and sugarcane (Amna et al 2020). Similarly, the treatments viz., control and high temperature stress may be applied by customizing the dates of sowing to study the varying degrees of temperature regimes at peak owering time (Zhao et al 2012;Ban et al 2015; Mahdy et al 2017;Saleem et al 2020). This study conferred the genotypic variation via identi cation of distinct (tolerant, sensitive) genotypes for developing genetic material against high temperature stress.…”

Section: )mentioning

confidence: 99%

Genetic variability predicting breeding potential of upland cotton (Gossypium hirsutum L.) for high temperature tolerance

Farooq

Shakeel

Saeed

et al. 2022

Preprint

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Background High temperature stress at peak flowering stage of cotton is a major hindrance for crop productivity. This study aimed to increase genetic divergence regarding heat tolerance in newly developed cultivars and hybrids. The fifty cotton genotypes and 40F1 were tested under field conditions following the treatments viz., high temperature stress and control at peak flowering stage during August and October under April and June sowing, respectively. Results The means squares revealed significant differences among genotypes, treatments, genotype×treatment for relative cell injury, chlorophyll contents, canopy temperature, boll retention and seed cotton yield. The genetic diversity among 50 genotypes was analyzed through cluster analysis and heat susceptibility index (HSI). Based on HSI and cluster analysis eight tolerant genotypes (FH-Noor, NIAB-545, FH-466, FH-Lalazar, FH-458, NIAB-878, IR-NIBGE-8 and Weal-AG-Shahkar) and five sensitive (CIM-602, Silky-3, FH-326, SLH-12 and FH-442) were selected for hybridization. The breeding material, 40F1 and 13 parents evaluated following line×tester design. Higher specific combining ability variances with dominance variances determined the non-additive gene action for all the traits. The best general combining ability effects for most of the traits were displayed by lines FH-Lalazar, NIAB-878 along with testers FH-326 and SILKY-3. Specific combining ability effects and better-parent heterosis were showed by crosses FH-Lalazar×SILKY-3, FH-Lalazar×FH-326, NIAB-878×SILKY-3 and NIAB-878×FH-326 for seed cotton yield and yield contributing traits under high temperature stress. Conclusion Consequently, heterosis breeding for non-additive type of gene action, may utilize the potential parents in different cross combinations to develop high temperature tolerance in local cotton cultivars and hybrids for improving seed cotton yield .

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Section: )mentioning

confidence: 99%

Genetic variability predicting breeding potential of upland cotton (Gossypium hirsutum L.) for high temperature tolerance

Farooq

Shakeel

Saeed

et al. 2022

Preprint

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“…Nevertheless under delayed sowing, the young emerging seedlings are exposed to extremely high temperatures which can cause huge mortality after scorching of young leaves. The late sown crops have shorter duration because of warmer temperature for development (Ban et al., 2015). The recommended sowing period of cotton in the northwestern part of India falls between 1 April and 15 May as any shifting of the sowing window either very early or too late results in poor crop stand causing decreased productivity (Kaur et al., 2019; Singh et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of DSSAT‐CROPGRO‐cotton model to simulate phenology, growth, and seed cotton yield in northwestern India

2021

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Crop simulation models are widely used in developed countries to understand the impact of uncertain weather situations on crop production and consequent strategies formulation but their application in developing countries like India is limited and thus needs to be strengthened. The main objective of this study was to evaluate the DSSAT-CROPGRO-cotton (Gossypium hirsutum L.) model for assessing impact of varying weather on productivity dynamics of cotton in northwestern India. To ascertain this, field experiments were carried out under a 3 yr study at two distinct agro-climatic zones/locations for testing and validation of CROPGRO-cotton model (version 4.7) for phenological development and seed cotton yield of four diverse cotton cultivars (F2228, F1861, NCS855BGII, and RCH650BGII) grown under three sowing dates (20 April, 10 May, and 30 May). The results elucidated that phenological events like anthesis and physiological maturity were fairly predicted with high d-index value ≥0.83 and ≥0.89 and low root mean square error (RMSE), that is, ≤2.27 and ≤4.98 d, respectively. Furthermore, aboveground biomass and seed cotton yield also exhibited a RMSE of ≤706 kg haź (≥0.72, d-index) and ≤126 kg ha -1 (≥0.97, d-index), respectively, indicative of high accuracy. These findings revealed that DSSAT-CROPGRO-cotton model could be exploited for simulating cotton growth, phenology, and yield in northwestern India besides its application in similar arid crop environments across the globe. However, further testing with extensive and long-term datasets is required to improve the utility of model. INTRODUCTIONCrop simulation models integrate the scientific knowledge frommany disciplines including agricultural and allied sciences. Models can accurately evaluate individual and/or joint

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“…cotton genotypes. Significant differences among cultivars number of bolls per plant and yield per plant and boll weight were also recorded by Copur (2006), Hofs et al, (2006) and Ban et al, (2015).…”

Section: Yield Attributesmentioning

confidence: 70%

Agro-Meteorological Studies in Different Cotton Species under HDPS

Karunakar¹,

Kumar²,

Turkhede³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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A B S T R A C TPlanting density is the most active factor and plays pivotal role in crop management practices. Hence plant density is the enduring topic for crop production improvement. The rational plant population is an important attribute to high yield of cotton, because it can provide a beneficial micro-environment within the canopy for plant growth and development as well as yield formation. A field investigation was carried out at the field of All India Coordinated Research Project on Agro-meteorology, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (MS) during Kharif season of 2015-16.Three cotton genotypes viz. G.hirsutum cotton AKH-081, G. arboretum cotton AKA-7 and G. hirsutum hybrid Bt. cotton Balwan with three plant densities with the population level of 100,150and 200 per cent of normal for respective genotypes were laid out in Factorial Randomized Block Design with three replications. The results revealed that, cotton genotype G. arboreum AKA-7 with 150 to 200 per cent planting density recorded maximum fraction of PAR, lowest fraction of transmitted PAR and canopy temperature with high canopy temperature depression and greater tolerance to environment stress with comparative to genotypes AKH-081 and Bt. cotton Balwan recorded significantly higher number of picked bolls, boll weight, higher seed cotton weight and harvest index (17.59 g, 3.21 g, 56.49 g and 39.50 %) as compared to genotype AKA-7 and genotype AKH-081. However, AKA-7 registered significantly higher seed cotton yield, cotton stalk yield and biological yield (1715, 3038 and 4753 kg ha -1 ) than Bt. cotton Balwan and hirsutum cotton genotype AKH-081. Normal plant density recorded higher number of picked bolls plant -1 , seed cotton weight plant -1 (11.67 and 33.97 g) which are significantly more over high planting density of 150 and 200 per cent of normal population. However, normal planting at 100,150 and 200 per cent population was recorded being at par. High density planting (200 per cent of normal density) produced maximum seed cotton yield, cotton stalk yield and biological yield i.e.1802, 3338 and 5140 kg ha -1 , respectively. Whereas, high density planting at 100 per cent of normal density produced maximum harvest index (38.08 %) which are significantly higher than 200 per cent high density planting (35.07%) an statistically at par with high density planting of 150 per cent. Different cotton genotype as well as plant density were statistically not significant in respect of quality studies of cotton. K e y w o r d s

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Crop phenology, thermal requirement, yield and fiber properties of cotton (Gossypium hirsutum) genotypes as influenced by different environments

Cited by 13 publications

References 11 publications

Genetic variability predicting breeding potential of upland cotton (Gossypium hirsutum L.) for high temperature tolerance

Genetic variability predicting breeding potential of upland cotton (Gossypium hirsutum L.) for high temperature tolerance

Evaluation of DSSAT‐CROPGRO‐cotton model to simulate phenology, growth, and seed cotton yield in northwestern India

Agro-Meteorological Studies in Different Cotton Species under HDPS

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