The Broom's Barn sugar beet growth model and its adaptation to soils with varied available water content

Qi, Aiming; Kenter, Christine; Hoffmann, Christa; Jaggard, K. W.

doi:10.1016/j.eja.2004.09.007

Cited by 42 publications

(26 citation statements)

References 24 publications

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“…It is well documented that the protein content in barley grains is genetically controlled but easily affected by environmental conditions. 45,46 The current results showed that barley protein content varied with sowing date, which agrees with the findings of Qi et al 26 and Yin et al…”

Section: Cereal Experimentssupporting

confidence: 95%

“…25 Qi et al 26 found that barley grain protein content was significantly affected by sowing date, increasing when the sowing date was delayed. Sowing date affects grain protein content mainly through its determination of the thermal conditions prevailing during the grain-filling period, since late sown material generally flowers late, 27 thereby causing the grainfilling period to coincide with a high ambient temperature.…”

mentioning

confidence: 98%

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Effects of sowing and harvesting dates on yield and some quality characteristics of crops in sugar beet/cereal rotation system

et al. 2007

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BACKGROUND: Cereals are the main crops in rotation following sugar beet harvest. However, a delay in planting winter cereals as a result of late sugar beet harvest is a disadvantage in sugar beet/cereal rotations. In this study, field trials were carried out to investigate the effects of sowing and harvesting dates on the yield and quality of sugar beet (Beta vulgaris L.) and cereals (wheat, Triticum aestivum L., and six-rowed barley, Hordeum vulgare L.) during two consecutive years. Beet was sown on three dates and harvested on four dates, followed by cereals which were sown on four dates. Root yield and digestion ratio (sugar beet) and grain yield, 1000-kernel weight, test weight and protein content (wheat and barley) were determined.

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Section: Cereal Experimentssupporting

confidence: 95%

mentioning

confidence: 98%

Effects of sowing and harvesting dates on yield and some quality characteristics of crops in sugar beet/cereal rotation system

et al. 2007

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“…Genotype 'E-6' in VLSD showed the highest increase (30.43%) and 'Shatabdi' the lowest (7.87%) in protein content. Qi et al [57] also found that barley grain protein content was significantly affected by sowing date, increasing when the sowing date was delayed. The highest percentage of protein was found in 'E-67' at OSD (Fig.…”

Section: Protein and Starch Contentmentioning

confidence: 97%

Protein and Starch Content of 20 Wheat (<i>Triticum aestivum</i> L.) Genotypes Exposed to High Temperature Under Late Sowing Conditions

Hakim¹,

Hossain²,

Silva

et al. 2012

J. Sci. Res.

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A total of 20 spring wheat genotypes were evaluated under three growing conditions (optimum, late and very late) at the research farm of the Wheat Research Center, Bangladesh to assess the variation in grain yield, protein and starch content under heat stress. All genotypes were significantly affected by high temperature stress in late and very late sowing conditions, resulting in a decrease in days to heading and maturity, ultimately affecting yield, protein and starch content. Considering yield performance, genotype 'E-8' was best under optimum (6245 kg ha -1 ), late (5220 kg ha -1) and very late sowing (4657 kg ha -1 ) conditions while 'E-40' was the worst. With respect to yield reduction, genotype 'E-72' was heat-tolerant (13% yield reduction) while 'Prodip' (49% yield reduction) was heatsusceptible. On the other hand, it was found that the percentage protein increased as heat stress increased. Under heat stress, genotype 'E-65' and 'E-60' had the highest and lowest protein content (15.5% and 12%), respectively. With respect to starch content, 'Prodip' and 'E-37' had the highest while 'E-14' and 'E-72' had the lowest content (64.8% vs. 62.9%), respectively in all sowing conditions.

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“…Several models are proposed for sugar beet that can estimate the total dry matter. These models include AquaCrop (Stricevic et al, 2011), CERES (Baey et al, 2014;Jones et al, 1986;leviel, 2000), Greenlab (De Reffye & Hu, 2003), SUBEMOpo (Vandendriessche, 2000a;Vandendriessche, 2000b), the Broom's Barn sugar beet growth model (Qi et al, 2005) and a model for water and salt stress condition (Sepaskhah et al, 2006). Of all these mentioned, few consider different scenarios for irrigation and nitrogen conditions.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Sugar Beet Yield and its Dry Matter Partitioning Under Different Irrigation and Nitrogen Levels

Kamali¹,

Zand‐Parsa²

2016

MAS

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In this study, a simple logistic model was developed for estimating total dry matter of sugar beet under different irrigation and nitrogen levels. The experiment was conducted using line source sprinkler irrigation in 2013 and furrow irrigation in 2014. Irrigation treatments were from 44% to 130% of full irrigation and applied nitrogen treatments ranged from 0 to 240 kg N ha -1. Results showed that the model was more accurate in predicting total dry matter at harvest date with the Normalized Root Mean Square Error (NRMSE) amounting to almost 10 percent. After total dry matter estimation, a model was needed for dry matter partitioning between different organs of sugar beet. To achieve this goal, another logistic model was developed and was compared with three revised models. Finally, white sugar content of root dry matter was estimated using a quadratic equation as a function of applied water and nitrogen. Validation results indicated that total and root dry matters, and white sugar yield were estimated fairly well. Results showed that excessive water had negative effects on total dry matter and root dry matter. Also, excessive nitrogen affected root dry matter negatively too, but even the excess had positive effects on total dry matter. In contrast to common belief, our results showed that drought stress reduced both ratios of root to leaf, and root to shoot dry matter.

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The Broom's Barn sugar beet growth model and its adaptation to soils with varied available water content

Cited by 42 publications

References 24 publications

Effects of sowing and harvesting dates on yield and some quality characteristics of crops in sugar beet/cereal rotation system

Effects of sowing and harvesting dates on yield and some quality characteristics of crops in sugar beet/cereal rotation system

Protein and Starch Content of 20 Wheat (<i>Triticum aestivum</i> L.) Genotypes Exposed to High Temperature Under Late Sowing Conditions

Estimation of Sugar Beet Yield and its Dry Matter Partitioning Under Different Irrigation and Nitrogen Levels

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