Evaluation of physiological traits as indirect selection criteria for drought tolerance in sugar beet

Ober, Eric S.; Bloa, Mich Le; Clark, C. J. A.; Royal, Andy; Jaggard, K. W.; Pidgeon, J. D.

doi:10.1016/j.fcr.2004.07.012

Cited by 141 publications

(92 citation statements)

References 36 publications

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“…Ober et al (2005) reported that the effected of water deficit on Na content is less clear and varies from year to year. Na value range from 1.7 Meq/1000 g for CFI to 2.7 Meq/1000 g in year 2013 and 3.6 Meq/1000 g to 4.5 Meq/1000 g in year 2014.…”

Section: Discussionmentioning

confidence: 99%

Effect of Deficit Irrigation Management on Qualitative and Quantitative Yield of Sugar Beet (Beta Vulgaris L.) in Karaj, Iran

Mansuri¹

2018

Appl. Ecol. Env. Res.

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Mansuri et al.: Effect of deficit irrigation managment on qualitative and quantitative yield of sugar beet (Beta vulgarisLAbstract. Environmental pollution and food security resulting from agricultural input surpluses are of great concern to the world in recent year. Improving use efficiency of agricultural inputs becomes an important way to relieve above issues. Due to the long growing season of sugar beet, its response to deficit irrigation is very important. According to the objective, a field study was conducted to investigate the effects of conventional (control), fixed and alternate furrow irrigation on qualitative and quantitative yields of sugar beet was carried out in Karaj, Iran. The treatments were applied in two consecutive years (2013 and 2014) as randomized complete block design with three replications. The irrigation water applied in the control treatment was 1127 mm, while the fixed and alternate furrow irrigation reduced drainage by 44% and 50%, respectively. The root yield was obtained 79 t/ha under alternate furrow irrigation, and 16% higher compared to fixed furrow irrigation. Average water use efficiency (WUE) for sugar beet root production in conventional, fixed, and alternate furrow irrigation were achieved 7, 11, and 12 kg/m 3 , respectively. Moreover, the maximum water use efficiency for of pure sugar production (1.5 kg/m 3 of water used) was obtained in the alternate furrow irrigation treatment. So, it was 23 and 117% higher than fixed and conventional furrow irrigation treatments, respectively. α-amino nitrogen absorption in the alternate furrow irrigation treatment increased by 29% compared to other treatments, which suggest balanced fertilization management is needed in alternate furrow irrigation. Consequently, alternate furrow irrigation management with reduced drainage achieved maximum WUE.

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Section: Discussionmentioning

confidence: 99%

Effect of Deficit Irrigation Management on Qualitative and Quantitative Yield of Sugar Beet (Beta Vulgaris L.) in Karaj, Iran

Mansuri¹

2018

Appl. Ecol. Env. Res.

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“…This capacity of species/cultivars is most effective in high storage soils and after sufficient winter rain to refill deep layers. It is particularly important for crops with deep root systems such as sugar beet (Ober et al 2005), while maize has been adapted to summer drought by less susceptible flowering biology with reduced anthesis-to-silking interval (Campos et al 2004). Still, also for maize and sunflower, improved root water and nitrogen uptake capacity has been related to improved yields under stress via the phenomenon of delayed leave senescence or stay green (Trachsel et al 2009;Hammer et al 2009;Lisanti et al 2013).…”

Section: Plant Resistance To Droughtmentioning

confidence: 99%

Management of crop water under drought: a review

Bodner

Nakhforoosh

Kaul

2015

Agron. Sustain. Dev.

455

234

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Drought is a predominant cause of low yields worldwide. There is an urgent need for more water efficient cropping systems facing large water consumption of irrigated agriculture and high unproductive losses via runoff and evaporation. Identification of yield-limiting constraints in the plant-soil-atmosphere continuum are the key to improved management of plant water stress. Crop ecology provides a systematic approach for this purpose integrating soil hydrology and plant physiology into the context of crop production. We review main climate, soil and plant properties and processes that determine yield in different water-limited environments. From this analysis, management measures for cropping systems under specific drought conditions are derived. Major findings from literature analysis are as follows. (1) Unproductive water losses such as evaporation and runoff increase from continental in-season rainfall climates to storage-dependent winter rainfall climates. Highest losses occur under tropical residual moisture regimes with short intense rainy season. (2) Sites with a climatic dry season require adaptation via phenology and water saving to ensure stable yields. Intermittent droughts can be buffered via the root system, which is still largely underutilised for better stress resistance. (3) At short-term better management options such as mulching and date of seeding allow to adjust cropping systems to site constraints. Adapted cultivars can improve the synchronisation between crop water demand and soil supply. At long term, soil hydraulic and plant physiological constraints can be overcome by changing tillage systems and breeding new varieties with higher stress resistance. (4) Interactions between plant and soil, particularly in the rhizosphere, are a way towards better crop water supply. Targeted management of such plant-soil interactions is still at infancy.We conclude that understanding site-specific stress hydrology is imperative to select the most efficient measures to mitigate stress. Major progress in future can be expected from crop ecology focussing on the management of complex plant (root)-soil interactions.

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“…The GT biplot analysis allows visualization of the genetic correlation among traits (Yan and Rajcan 2002) and also evaluation of genotypes on the basis of multiple traits (Ober et al 2005). The use of Auto Find QTL option, one of the component functions of the GGE biplot software visually aids in identifying traits that are reliable for indirect selection for a target traits based on their genetic correlations at a level of Cereal Research Communications 42, 2014 probability and also helps to detect less important (redundant) traits.…”

Section: Trait Profile and Trait Association Analysismentioning

confidence: 99%

Assessing the usefulness of GGE biplot as a statistical tool for plant breeders and agronomists

Akinwale¹,

Fakorede²,

Badu‐Apraku³

et al. 2014

Cereal Research Communications

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Genotype main effect plus genotype-by-environment interaction (GGE) biplot produces a graphical display of results that facilitates a better understanding of complex genotype-by-environment interaction in multi-environment trials of breeding and agronomic experiments. However, the full potential and weaknesses of this powerful tool are not fully understood by breeders, agronomists, entomologists and pathologists. The objective of this paper was to review the usefulness of this statistical tool and enumerate some of its weaknesses. Its main application has so far been in the analysis of multi-environment data. It has been used to analyze the performance of crop cultivars under multiple stress environments, from which ideal cultivars, mega-environments, and core testing sites were identified. More recently, GGE biplot has been employed in genetic analysis of diallel data to estimate the combining abilities and identify heterotic groups among inbred parents. Genotype-by-trait biplot has also been utilized in trait profile analysis, and in identification of traits that are reliable for indirect selection of a target primary trait. Two major shortcomings of this tool are (i) failure to identify more than two distinct, contrasting groups in diallel studies and (ii) lack of statistical tests for most of its graphical displays. Other aspects of GGE biplot that need further study and development are (i) estimation of genetic variances, covariances, and heritability, including the analysis of data generated from North Carolina Designs I, II, and III as well as other genetic designs, considering their importance in plant breeding programs; (ii) analysis of Quantitative Trait Loci (QTL) data for proper understanding of the genetic constitution of each individual plant or line; and (iii) analysis of Genotype-by-pathogen or insect strain interaction data. Nevertheless, GGE biplot has helped greatly in the accurate analysis and interpretation of data from breeding and agronomic field evaluation experiments.

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Evaluation of physiological traits as indirect selection criteria for drought tolerance in sugar beet

Cited by 141 publications

References 36 publications

Effect of Deficit Irrigation Management on Qualitative and Quantitative Yield of Sugar Beet (Beta Vulgaris L.) in Karaj, Iran

Effect of Deficit Irrigation Management on Qualitative and Quantitative Yield of Sugar Beet (Beta Vulgaris L.) in Karaj, Iran

Management of crop water under drought: a review

Assessing the usefulness of GGE biplot as a statistical tool for plant breeders and agronomists

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