A model of the phenological development of winter oilseed rape (Brassica napus L.)

Habekotte, B.

doi:10.1016/s0378-4290(97)00043-9

Cited by 66 publications

(36 citation statements)

References 9 publications

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“…Several studies have sought to understand the contribution of individual traits to oilseed rape yield [4,6,[32][33][34][35] or to model yield such that it can be predicted over future growing seasons [5,7,8,36]. However, there is some disagreement between the studies as to what are the most important traits that influence yield, be it the number of pods per plant [34], the time to maturity [6] or the duration of flowering [32].…”

Section: Discussionmentioning

confidence: 99%

“…Crops such as oilseed rape (canola, rapeseed, colza) are of increasing economic importance, yet they have an indeterminate growth habit compared to cereals, having been domesticated for only 4000 years compared to the 10,000 years for wheat, and therefore, require a dedicated approach in order to determine yield components that are of use to growers and breeders. Several models of yield prediction in oilseed rape have been generated previously [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Development of a Statistical Crop Model to Explain the Relationship between Seed Yield and Phenotypic Diversity within the Brassica napus Genepool

et al. 2017

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Plants are extremely versatile organisms that respond to the environment in which they find themselves, but a large part of their development is under genetic regulation. The links between developmental parameters and yield are poorly understood in oilseed rape; understanding this relationship will help growers to predict their yields more accurately and breeders to focus on traits that may lead to yield improvements. To determine the relationship between seed yield and other agronomic traits, we investigated the natural variation that already exists with regards to resource allocation in 37 lines of the crop species Brassica napus. Over 130 different traits were assessed; they included seed yield parameters, seed composition, leaf mineral analysis, rates of pod and leaf senescence and plant architecture traits. A stepwise regression analysis was used to model statistically the measured traits with seed yield per plant. Above-ground biomass and protein content together accounted for 94.36% of the recorded variation. The primary raceme area, which was highly correlated with yield parameters (0.65), provides an early indicator of potential yield. The pod and leaf photosynthetic and senescence parameters measured had only a limited influence on seed yield and were not correlated with each other, indicating that reproductive development is not necessarily driving the senescence process within field-grown B. napus. Assessing the diversity that exists within the B. napus gene pool has highlighted architectural, seed and mineral composition traits that should be targeted in breeding programmes through the development of linked markers to improve crop yields.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a Statistical Crop Model to Explain the Relationship between Seed Yield and Phenotypic Diversity within the Brassica napus Genepool

et al. 2017

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“…conventional vs. HOLL varieties, (3) the date of the flowering onset measured in the field or predicted by models (e.g. Habekotté, 1997).…”

Section: Estimation Of Enzymatic Activity Through "Step Yields"mentioning

confidence: 99%

Insights into temperature effects on the fatty acid composition of oilseed rape varieties

Baux

Colbach²,

Allirand

et al. 2013

European Journal of Agronomy

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“…As a consequence, oilseed rape has been extensively studied to identify key components of yield and to improve them by more effective nitrogen (N) application with the target of reducing environmental impacts such as N leaching and improving N use efficiency for seed filling (Boelcke et al, 1991;Habekotté, 1993;Schjoerring et al, 1995;Sieling and Christen, 1997;Vos and van der Putten, 1997). Many mathematical models have been built to simulate crop growth, development, and yield (BRASNAP-PH, Habekotté, 1997a;and LINTUL BRASNAP, Habekotté, 1997b). Some of these (DAISY, Petersen et al, 1995;and CERES-Rape, Gabrielle et al, 1998) have been devoted mainly to predicting ecological impacts of N losses from winter oilseed rape.…”

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confidence: 99%

Modeling Nitrogen Uptake in Oilseed Rape cv Capitol during a Growth Cycle Using Influx Kinetics of Root Nitrate Transport Systems and Field Experimental Data

Malagoli¹,

Laîné²,

Deunff³

et al. 2004

Plant Physiology

115

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The use of kinetic equations of NO 3 Ϫ transport systems in oilseed rape (Brassica napus), determined by 15 NO 3 Ϫ labeling under controlled conditions, combined with experimental field data from the INRA-Châlons rape database were used to model NO 3 Ϫ uptake during the plant growth cycle. The quantitative effects of different factors such as day/night cycle, ontogenetic stages, root temperature, photosynthetically active radiation, and soil nitrate availability on different components of the constitutive high-affinity transport systems, constitutive low-affinity transport systems, inducible low-affinity transport systems, and inducible high-affinity transport systems of nitrate were then determined to improve the model's predictions. Simulated uptake correlated well with measured values of nitrogen (N) uptake under field conditions for all N fertilization rates tested. Model outputs showed that the high-affinity transport system accounted for about 89% of total NO 3 Ϫ uptake (18% and 71% for constitutive high-affinity transport systems and inducible high-affinity transport systems, respectively) when no fertilizer was applied. The low-affinity transport system accounted for a minor proportion of total N uptake, and its activity was restricted to the early phase of the growth cycle. However, N fertilization in spring increased the duration of its contribution to total N uptake. Overall, data show that this mechanistic and environmentally regulated approach is a powerful means to simulate total N uptake in the field with the advantage of taking both physiologically regulated processes at the overall plant level and specific nitrate transport system characteristics into account.Winter oilseed rape (Brassica napus) is an important crop in northern Europe because of its varied utilizations (oil and biofuel). However, yields remain highly variable. As a consequence, oilseed rape has been extensively studied to identify key components of yield and to improve them by more effective nitrogen (N) application with the target of reducing environmental impacts such as N leaching and improving N use efficiency for seed filling (Boelcke et al., 1991;Habekotté, 1993;Schjoerring et al., 1995;Sieling and Christen, 1997;Vos and van der Putten, 1997). Many mathematical models have been built to simulate crop growth, development, and yield (BRASNAP-PH, Habekotté, 1997a; and LINTUL BRASNAP, Habekotté, 1997b). Some of these (DAISY, Petersen et al., 1995; and CERES-Rape, Gabrielle et al., 1998) have been devoted mainly to predicting ecological impacts of N losses from winter oilseed rape. When N nutrition has been taken into account, N uptake usually has been based on the balance of demand and supply. In this context, N availability in the soil solution is modeled using mass flow and NO 3 Ϫ diffusion equations (CERES-Rape, and DAISY), and N demand is often determined using the critical dilution curve determined by Colnenne et al. (1998) for oilseed rape (CERES-rape). In these models, the root system is considered as a "black box." ...

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A model of the phenological development of winter oilseed rape (Brassica napus L.)

Cited by 66 publications

References 9 publications

Development of a Statistical Crop Model to Explain the Relationship between Seed Yield and Phenotypic Diversity within the Brassica napus Genepool

Development of a Statistical Crop Model to Explain the Relationship between Seed Yield and Phenotypic Diversity within the Brassica napus Genepool

Insights into temperature effects on the fatty acid composition of oilseed rape varieties

Modeling Nitrogen Uptake in Oilseed Rape cv Capitol during a Growth Cycle Using Influx Kinetics of Root Nitrate Transport Systems and Field Experimental Data

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