Effects of initial N reserve status and residual leaf area after cutting on leaf area and organ establishment during regrowth of alfalfa

Simon, Jean‐Claude; Decau, Marie-Laure; Avice, Jean‐Christophe; Jacquet, Anne; Meuriot, Frédéric; Allirand, Jean Michel

doi:10.4141/p03-118

Cited by 9 publications

(3 citation statements)

References 36 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model uses a linear interpolation to compute partitioning change as decimal V-stage progresses. Difficulties in adjusting the partitioning for both phases due to the lack of observed leaf, stem, and root fraction were managed by extrapolating data from literature (Stavarache et al, 2012;Teixeira et al, 2007) and comparing them to the simulated data on leaf percentage, total biomass, roots, and storage (crown-taproot) (Meuriot et al, 2004;Simon et al, 2004).…”

Section: Dry Matter Partitioningmentioning

confidence: 99%

“…Observed percent leaf values of harvested herbage were extrapolated from Stavarache et al (2012) study in Romania for three cuts during the first season, and those values ranged between 42 and 61%. In the study of Simon et al (2004), the leaf percentage varied between 50 and 53% under different N fertilization and residual leaf area treatments. In our experiments, the simulated percent leaf was around 70% (the average of the 6 experiments).…”

Section: Dry Matter Partitioningmentioning

confidence: 99%

See 1 more Smart Citation

Adapting the CROPGRO Model to Simulate Alfalfa Growth and Yield

et al. 2018

View full text Add to dashboard Cite

Despite alfalfa's global importance, there is a dearth of crop simulation models available for predicting alfalfa growth and yield with its associated composition. The objectives of this research were to adapt the CSM-CROPGRO Perennial Forage Model for simulating alfalfa growth and yield and to describe model adaptation for this species. Data from six experimental plots grown under sprinkler irrigation in the Ebro valley (Northeast Spain) were used for model adaptation. Starting with parameters for Bracharia brizantha, the model adaptation was based on values and relationships reported from the literature for cardinal temperatures and dry matter partitioning. A Bayesian optimizer was used to optimize temperature effects on photosynthesis and daylength effects on partitioning and an inverse modeling technique was employed for nitrogen fixation rate and nodule growth. The calibration of alfalfa tissue composition was initiated from soybean composition analogy but was improved with values from alfalfa literature. There was considerable iteration in optimizing parameters for the processes outlined above where comparisons were made to measured data. After adaptation, the Root Mean Square Error and d-statistic of harvested herbage averaged across 58 harvests (yield range: 990-4617 kg ha -1 ) were 760 kg ha -1 and 0.75, respectively. In addition, good agreement was observed for Leaf Area Index (LAI) (LAI range: 0.1-6.7) with d-statistic of 0.71. Simulated belowground mass was within the range of literature values. The results of this study showed that CROPGRO-PFM-Alfalfa can be used to simulate alfalfa growth and development. Further testing with more extensive datasets is needed to improve model robustness.

show abstract

Section: Dry Matter Partitioningmentioning

confidence: 99%

Section: Dry Matter Partitioningmentioning

confidence: 99%

Adapting the CROPGRO Model to Simulate Alfalfa Growth and Yield

et al. 2018

View full text Add to dashboard Cite

show abstract

“…biomass of leaves, young stems and remnant leaf area) in plants cut at 100 mm of height. In this regard, numerous studies have shown the positive relationship between remaining green biomass and subsequent aerial growth in lucerne plants (Leach, 1969;Hodgkinson, 1973;Simon et al, 2004;Meuriot et al, 2005;Favero et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Dynamics of aerial and perennial biomass of two lucerne cultivars with different fall dormancy subject to two severities of cutting during the establishment phase

García¹,

Assuero²,

Blain³

et al. 2021

revagro

View full text Add to dashboard Cite

The aim of this study was to quantify the impact of two cutting severities on the dynamics of aerial and perennial (root plus crown) biomass of lucerne (Medicago sativa L.) plants of two cultivars of contrasting fall dormancy rating during the establishment phase. We worked at Unidad Integrada Balcarce with two cultivars of lucerne (non-winter dormant: FD10; semi-winter dormant: FD6) and two cutting severities (40 and 100 mm) defining four treatments (FD6-40 mm, FD6-100 mm, FD10-40 mm and FD10-100 mm) under a completely randomized design. In both cultivars, increasing cutting severity produced a reduction in leaf area and number of nodes in the residual, resulting in a reduced production of aerial biomass during regrowth, given a reduction on shoot number. On the other hand, the effect of increased cutting severity on perennial biomass was only observed in plants of FD10 cultivar. This cultivar showed less perennial biomass when cut at 40 mm than at 100 mm, while no differences were observed between cutting heights in FD6 cultivar.

show abstract

Effect of High Temperature on Protein Metabolism in Plants

Bhattacharya

2019

Effect of High Temperature on Crop Productivity and Metabolism of Macro Molecules

View full text Add to dashboard Cite

Effects of initial N reserve status and residual leaf area after cutting on leaf area and organ establishment during regrowth of alfalfa

Cited by 9 publications

References 36 publications

Adapting the CROPGRO Model to Simulate Alfalfa Growth and Yield

Adapting the CROPGRO Model to Simulate Alfalfa Growth and Yield

Dynamics of aerial and perennial biomass of two lucerne cultivars with different fall dormancy subject to two severities of cutting during the establishment phase

Effect of High Temperature on Protein Metabolism in Plants

Contact Info

Product

Resources

About