Recognizing production options for pearl millet in Pakistan under changing climate scenarios

Ullah, Asmat; Ahmad, Ashfaq; Khaliq, Tasneem; Akhtar, Javaid

doi:10.1016/s2095-3119(16)61450-8

Cited by 50 publications

(42 citation statements)

References 59 publications

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“…Across all water and N levels, I 2 and I 15 were generally better than I 1 and I 30 for the calculated NUE. According to previous studies, NUE can be improved largely by various management options such as planting density, planting method, site specific fertilizer application, optimum weather conditions and adequate irrigation [59][60][61]. Fertilizers and irrigation factors affected NUE, both individually and interactively.…”

Section: Agronomic Nitrogen Use Efficiency (Nue)mentioning

confidence: 99%

Improving Pearl Millet (Pennisetum glaucum) Productivity through Adaptive Management of Water and Nitrogen

Ausiku¹,

Annandale²,

Steyn³

et al. 2020

Water

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Management of nitrogen and water plays a significant role in increasing crop productivity. A large amount of nitrogen (N) may be lost through leaching if these resources are not well managed. Wetting front detectors (WFDs) and Chameleon soil water sensors were used to adapt water and nitrogen applications with the goal of increasing millet yields, as well as nitrogen and water use efficiency. The trials were laid out as a randomized complete block design with factorial combinations of water and N, and included the following treatments: irrigation to field capacity (fortnightly and weekly), adaptive-water application based on sensor response or rainfed, and N treatments included either fixed nitrogen levels (0, 45, 90 kg N ha−1) or an adaptive-N rate, depending on N content of the soil solution extracted from WFDs. Adaptive management aims to steer water and nitrogen applications towards optimum crop requirements. Treatments that received both high water and nitrogen outperformed other treatments by 11% to 68% in terms of biomass production and 16% to 54% in grain yield, while water use efficiency and irrigation use efficiency values were also higher, ranging from 1.58 to 7.94 kg m−3 and 1.43 to 8.30 kg m−3. Results suggest that integrated adaptive water and nitrogen management should be considered to reduce high N losses and cost of crop production, without a meaningful yield penalty, relative to high production input management.

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Section: Agronomic Nitrogen Use Efficiency (Nue)mentioning

confidence: 99%

Improving Pearl Millet (Pennisetum glaucum) Productivity through Adaptive Management of Water and Nitrogen

Ausiku¹,

Annandale²,

Steyn³

et al. 2020

Water

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“…It occupies about 27 m ha area worldwide and is staple food for more than 90 million people globally. In South Asia, it occupies an area of about 8.0 m ha in India, with about 60 to 70% grown under hybrids (about 5.0 m ha) (Satyavathi 2017) and about 0.5 m ha (mostly under hybrids) in Pakistan (Ullah et al 2017). Successful deployment of hybrids in India led to phenomenal increase in average productivity of pearl millet from 305 kg ha −1 in 1950s to present yield of 1132 kg ha −1 (Yadav and Rai 2013).…”

Section: Introductionmentioning

confidence: 99%

Identification of heterotic groups in South-Asian-bred hybrid parents of pearl millet

et al. 2020

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Key message Pearl millet breeding programs can use this heterotic group information on seed and restorer parents to generate new series of pearl millet hybrids having higher yields than the existing hybrids. Abstract Five hundred and eighty hybrid parents, 320 R-and 260 B-lines, derived from 6 pearl millet breeding programs in India, genotyped following RAD-GBS (about 0.9 million SNPs) clustered into 12 R-and 7 B-line groups. With few exceptions, hybrid parents of all the breeding programs were found distributed across all the marker-based groups suggesting good diversity in these programs. Three hundred and twenty hybrids generated using 37 (22 R and 15 B) representative parents, evaluated for grain yield at four locations in India, showed significant differences in yield, heterosis, and combining ability. Across all the hybrids, mean mid-and better-parent heterosis for grain yield was 84.0% and 60.5%, respectively. Groups G12 B × G12 R and G10 B × G12 R had highest heterosis of about 10% over best check hybrid Pioneer 86M86. The parents involved in heterotic hybrids were mainly from the groups G4R, G10B, G12B, G12R, and G13B. Based on the heterotic performance and combining ability of groups, 2 B-line (HGB-1 and HGB-2) and 2 R-line (HGR-1 and HGR-2) heterotic groups were identified. Hybrids from HGB-1 × HGR-1 and HGB-2 × HGR-1 showed grain yield heterosis of 10.6 and 9.3%, respectively, over best hybrid check. Results indicated that parental groups can be formed first by molecular markers, which may not predict the best hybrid combination, but it can reveal a practical value of assigning existing and new hybrid pearl millet parental lines into heterotic groups to develop high-yielding hybrids from the different heterotic groups. Communicated by Alain Charcosset.

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“…It is a short life-cycle plant with multiple purposes, and can be used as soil cover in no-tillage cultivation, as forage in direct grazing systems, silage and cultivated as grain for human and animal consumption (Pedroso, Monks, Ferreira, Tavares, & Lima, 2009). Millet has high nutritive value and, in comparison to other important crops such as sorghum and maize, has a notably high crude protein content (Ullah, Ahmad, Khaliq, & Akhtar, 2017) and potential to produce medium-level volumes of biomass, especially in dryland areas due to its relatively low water demand (Nagaz, Masmoudi, & Mechila, 2009). Thus, millet is a promising alternative crop in semiarid Brazilian regions.…”

Section: Introductionmentioning

confidence: 99%

Leaf area estimate of <i>Pennisetum glaucum<i> by linear dimensions

Leite

Lucena

Cruz

et al. 2019

Acta Sci. Anim. Sci.

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Leaf area measurements are of the main parameters used in agronomic studies to evaluate plant growth. The current study used a non-destructive method based on linear leaf dimensions (length and width) to select the regression model to estimate millet (Pennisetum glaucum) leaf area. For two millet genotype (IPA BULK 1 BF and ADR 300) 128 randomly-chosen leaves were measured at different vegetative growth stages. Measures of length and width of each leaf were made using digital calipers. Leaf area was measured using a gravimetric method. The best-fit leaf area estimation model was selected via linear, potential and gamma regression models. Leaf area values varied from 3.02 to 209.21 cm 2. The average value was 95.31 cm 2. The potential regression model exhibited lower residual sum of squares and Akaike's information criterion and similar determination coefficient and Willmott index. Thus, potential regression was more efficient in explaining the leaf area of millet, independent of the genotype, when compared to other models evaluated in this research. Length (L) and width (W) could be used in the following potential regression model to estimate millet leaf blade.

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Recognizing production options for pearl millet in Pakistan under changing climate scenarios

Cited by 50 publications

References 59 publications

Improving Pearl Millet (Pennisetum glaucum) Productivity through Adaptive Management of Water and Nitrogen

Improving Pearl Millet (Pennisetum glaucum) Productivity through Adaptive Management of Water and Nitrogen

Identification of heterotic groups in South-Asian-bred hybrid parents of pearl millet

Leaf area estimate of <i>Pennisetum glaucum<i> by linear dimensions

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