Irrigated cotton in the tropical dry season. I: Yield, its components and crop development

Yeates, S. J.; Constable, G. A.; McCumstie, T.

doi:10.1016/j.fcr.2010.01.005

Cited by 24 publications

(19 citation statements)

References 29 publications

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“…The growth and yield attributes of FH-142 coincide with the research work of Mustafa et al (2014) where maximum plant height, number of boll, number of sympodial and monopodia branches and seed cotton yield because this genotype exhibits broader genetic variability for wide range adaptability, resistance against insect, viruses and higher yield potential. (Norfleet et al, 1997;Linderholm, 2006) and keep boll unaffected from insects (Saeed et al, 2014), carry maximum number of monopodial (Butter et al, 2004), sympodial branches (El-Shahawy, 1999) and higher yield (Dounias et al, 2002;Mohammed et al, 2003;Yeats et al, 2010). Because early emerged plants stay long in field to utilize high summer temperature and accumulate maximum heating units for blooming and boll opening as well as, synthesize higher photosynthates and reserves for developing seeds and lint.…”

Section: Discussionmentioning

confidence: 99%

Improvement of Cotton Crop Performance by Estimating Optimum Sowing and Picking Time

Kamran¹,

Afzal²,

Basra³

et al. 2017

IJAB

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Section: Discussionmentioning

confidence: 99%

Improvement of Cotton Crop Performance by Estimating Optimum Sowing and Picking Time

Kamran¹,

Afzal²,

Basra³

et al. 2017

IJAB

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“…3). Despite the photothermal limitations described above, the maximum lint yields of upland and Pima S7 (G. barbadense L.) cultivars were, at worst, in line with Australian commercial irrigated yields and research yields for irrigated cotton in temperate Australia and the USA at the same time (Yeates et al 2010a). Similar potential yields were observed at Katherine and Broome (A. Dougall, NTPIF Katherine, and I. Mcleod, Western Agriculture Industries, Broome, unpubl.…”

Section: Lint Yield and Fibre Qualitymentioning

confidence: 91%

“…Dryseason production was a major agronomic change and included the requirement for a 5-week planting window that can commence on 1 March for Bt resistance management (Table 1). At the time there was very little literature worldwide reporting cotton grown during the tropical dry season (Yeates et al 2010a). Hence, it was necessary to evaluate crop adaptation and agronomic aspects of the dry-season production system outlined in Table 1.…”

Section: Crop Adaptation and Agronomic Aspects Of Dry-season Productionmentioning

confidence: 99%

“…The lint yields at the Ord River were achieved because biomass was accumulated by sustaining modest growth rates of 6.9-12.3 g/m 2 .day for a long period (78-134 days) between first square and boll opening, compared with cotton grown at temperate latitudes where growth was characterised by shorter periods (25-60 days) with greater maximum growth rates of 15-20 g/m 2 .day (Yeates et al 2010a(Yeates et al , 2010b. There was also a positive correlation between yield and greater horizontal fruiting, i.e.…”

Section: Lint Yield and Fibre Qualitymentioning

confidence: 99%

“…There was also a positive correlation between yield and greater horizontal fruiting, i.e. more second-and !third-position bolls, and a lack of correlation between the number of first-position bolls and their retention and yield (Yeates et al 2010a). This is a departure from spring-sown upland cotton in temperate climates, where firstposition bolls and their retention are regularly monitored due to their positive association with yield (Constable 1991;Kerby and Hake 1996).…”

Section: Lint Yield and Fibre Qualitymentioning

confidence: 99%

See 2 more Smart Citations

Can sustainable cotton production systems be developed for tropical northern Australia?

Yeates

Strickland²,

Grundy³

2013

Crop Pasture Sci.

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This article reviews research coordinated by the Australian Cotton Cooperative Research Centre (CRC) that investigated production issues for irrigated cotton at five targeted sites in tropical northern Australia, north of 21°S from Broome in Western Australia to the Burdekin in Queensland. The biotic and abiotic issues for cotton production were investigated with the aim of defining the potential limitations and, where appropriate, building a sustainable technical foundation for a future industry if it were to follow. Key lessons from the Cotton CRC research effort were: (1) limitations thought to be associated with cotton production in northern Australia can be overcome by developing a deep understanding of biotic and environmental constraints, then tailoring and validating production practices; and (2) transplanting of southern farming practices without consideration of local pest, soil and climatic factors is unlikely to succeed. Two grower guides were published which synthesised the research for new growers into a rational blueprint for sustainable cotton production in each region. In addition to crop production and environmental impact issues, the project identified the following as key elements needed to establish new cropping regions in tropical Australia: rigorous quantification of suitable land and sustainable water yields; support from governments; a long-term funding model for locally based research; the inclusion of traditional owners; and development of human capacity.

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Improving temperature‐based predictions of the timing of flowering in cotton

et al. 2022

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Key management recommendations for cotton (Gossypium hirsutum L.) management require estimates of the timing of crop phenology. Most commonly growing day degree (DD) (thermal time) approaches are used. Currently, across many cotton production regions, there is no consistent approach to predicting first square and flower timing. Day degree approaches vary considerably, with base thresholds different (12.0-15.6 ˚C) with no consistency using an optimum temperature threshold (i.e., temperature where development ceases to increase). As cotton is grown in variable and changing climates, and cultivars change, there is a need to ensure the accuracy of this approach for predicting timing of flowering for assisting cotton management. In this study new functions to predict first square and first flower were developed and validated using data collected in multiple seasons and regions (Australia and the United States). Earlier controlled environment studies that monitored crop development were used to assess in more detail how temperatures were affecting early cotton development. New DD functions developed predicted first square and first flower better than the existing Australian and U.S. approaches. The best performing functions had base temperatures like those of existing U.S. functions (15.6 ˚C) and an optimum threshold temperature of 32.0 ˚C. New universal DD targets for first square (343 DD [˚C]) and first flower (584 DD) were developed. Controlled environment studies supported this base temperature outcome; however, it was less clear that 32.0 ˚C was the optimum threshold temperature from these data. Precise predictions of cotton development will facilitate accurate growth stage assessments and hence better cotton management decisions.

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Irrigated cotton in the tropical dry season. I: Yield, its components and crop development

Cited by 24 publications

References 29 publications

Improvement of Cotton Crop Performance by Estimating Optimum Sowing and Picking Time

Improvement of Cotton Crop Performance by Estimating Optimum Sowing and Picking Time

Can sustainable cotton production systems be developed for tropical northern Australia?

Improving temperature‐based predictions of the timing of flowering in cotton

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