Dynamics of tiller populations of standard height and semi-dwarf wheats

Fraser, J.A.; Dougherty, C. T.; Länger, Reinhard

doi:10.1080/00288233.1982.10417893

Cited by 17 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Tillering is an intraspecific mechanism to regulate plasticity in small grains and can respond positively to N fertilizer or plant population density (Evers, Vos, Andrieu, & Struik, 2006). High‐density stands tend to result in greater biomass and N uptake (Chen et al., 2019; Fraser, Dougherty, & Langer, 1982; Marcillo et al., 2019).…”

Section: Resultsmentioning

confidence: 99%

Using statistical learning algorithms to predict cover crop biomass and cover crop nitrogen content

et al. 2020

View full text Add to dashboard Cite

Cereal rye (Secale cereale sp.) is a cover crop species known to improve soil and water quality. Late-season biomass production is information growers need to maximize cover crop benefits and schedule field operations. Statistical learning, built upon statistical and computational algorithms that "learn" from data, may help to improve predictions of cover crop biomass as a function of initial soil inorganic nitrogen levels. Three models-Least Absolute Shrinkage and Selection Operator (LASSO), Ridge, and Random Forest (RF)-were trained and optimized on a 3-yr allometric and remote sensing dataset of cereal rye responses to N fertilization in the mid-Atlantic northern and southeastern United States. Shoot biomass (mean, 9,800 kg ha −1) was accurately predicted with a RF model (RMSE, 2,039 kg ha −1). Targeting shoot N content (mean, 107 kg ha −1), on the other hand, LASSO made accurate and more stable predictions (RMSE, 34 kg ha −1). Early-season information (cover crop C/N ratio, tiller counts, and ground-sensed normalized difference vegetation index) contributed to enhancing biomass and N content predictions. A final test on untrained data revealed that 92 and 73% of the predictions from either algorithm corresponded to ground-truthed biomass and shoot N content observed under different N regimes. Modern data-intensive approaches, such as statistical learning, show promise to characterize end-season performance of a cover crop and may contribute to better farm decision-making. 1 INTRODUCTION Building sustainable agricultural systems requires significant increases in agricultural production and the adoption

show abstract

Section: Resultsmentioning

confidence: 99%

Using statistical learning algorithms to predict cover crop biomass and cover crop nitrogen content

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Para que os afilhos produzidos possam sobreviver, são necessárias duas condições. Primeiro, que os afilhos primários (1 o ao 3 o afilho, formados nas axilas da primeira à terceira folha do colmo principal, respectivamente) tenham sido emitidos, pois aqueles afilhos emitidos tardiamente são os mais propensos a morrer (Fraser et al, 1982). Segundo, que a disponibilidade de nutrientes, especialmente o N, seja mantida adequada após o pico máximo de produção dessas estruturas, para manter o sincronismo de desenvolvimento entre o colmo principal e os afilhos.…”

Section: Resultsunclassified

“…Contudo, os afilhos emitidos nesse momento tiveram poucas condições de competir por luz e nutrientes com os demais colmos já estabelecidos, sendo a sua taxa de sobrevivência muito baixa (Fraser et al, 1982). Quando não houve suplementação de N na emissão da 7ª folha, observou-se alta mortalidade de afilhos a partir desse momento (Figura 1).…”

Section: Resultsunclassified

Dinâmica do afilhamento afetada pela disponibilidade de nitrogênio e sua influência na produção de espigas e grãos em trigo

Mundstock

Bredemeier²

2002

Rev. Bras. Ciênc. Solo

View full text Add to dashboard Cite

RESUMOO aumento do número e da sobrevivência de afilhos e a produção de espigas e grãos em trigo foram avaliados em relação à disponibilidade de N, em três experimentos realizados na Estação Experimental Agronômica da UFRGS (Eldorado do Sul, RS), em 1995, 1997 e 1998. Foi utilizado o cv. Embrapa 16, semeado no final de junho na densidade de 300 sementes aptas m -2 . Os tratamentos, em 1995, consistiram da aplicação de 40 kg ha -1 de N em diferentes estádios de desenvolvimento da planta (da emergência à emissão da 5ª folha do colmo principal), seguidos ou não da aplicação de 40 kg ha -1 de N na emissão da 7 a folha. Em 1997 e 1998, diferentes doses de N foram aplicadas na emergência das plantas, seguidas ou não da aplicação de N no momento de emissão da 7 a folha. O N aplicado no início do período vegetativo estimulou maior emissão de afilhos, enquanto o N aplicado na emissão da 7 a folha reduziu sua mortalidade e manteve a sincronia de desenvolvimento entre colmo principal e afilhos. Em decorrência, aumentou o número de espigas por área, refletindo no aumento do rendimento de grãos.

show abstract

“…4). Previously, studies have also linked tiller abortion with the onset of stem elongation and anthesis suggesting that tiller death (abortion) is due, partly to resource competition (Mohamed and Marshall 1979;Kemp and Whingwiri 1980;Fraser et al 1982;Davidson and Chevalier 1990;Berry et al 2003;Xie et al 2016). This suggests a benefit of resource diversion to the main culm for improved spikelet fertility that is otherwise spent on tiller development and maintenance, the fate of which is usually uncertain.…”

Section: Fl-bh T -A1-nils Represent Novel Spike Morphology For Use Inmentioning

confidence: 99%

Inferring vascular architecture of the wheat spikelet based on resource allocation in the branched headt (bht-A1) near isogenic lines

Wolde

Schnurbusch

2019

Functional Plant Biol.

View full text Add to dashboard Cite

Substantial genetic and physiological efforts were made to understand the causal factors of floral abortion and grain filling problem in wheat. However, the vascular architecture during wheat spikelet development is surprisingly under-researched. We used the branched headt near-isogenic lines, FL-bht-A1-NILs, to visualise the dynamics of spikelet fertility and dry matter accumulation in spikelets sharing the same rachis node (henceforth Primary Spikelet, PSt, and Secondary Spikelet, SSt). The experiment was conducted after grouping FL-bht-A1-NILs into two groups, where tillers were consistently removed from one group. Our results show differential spikelet fertility and dry matter accumulation between the PSt and SSt, but also showed a concomitant improvement after de-tillering. This suggests a tight regulation of assimilate supply and dry matter accumulation in wheat spikelets. Since PSt and SSt share the same rachis node, the main vascular bundle in the rachis/rachilla is expected to bifurcate to connect each spikelet/floret to the vascular system. We postulate that the vascular structure in the wheat spikelet might even follow Murray’s law, where the wide conduits assigned at the base of the spikelet feed the narrower conduits of the distal florets. We discuss our results based on the two modalities of the vascular network systems in plants.

show abstract

Dynamics of tiller populations of standard height and semi-dwarf wheats

Cited by 17 publications

References 19 publications

Using statistical learning algorithms to predict cover crop biomass and cover crop nitrogen content

Using statistical learning algorithms to predict cover crop biomass and cover crop nitrogen content

Dinâmica do afilhamento afetada pela disponibilidade de nitrogênio e sua influência na produção de espigas e grãos em trigo

Inferring vascular architecture of the wheat spikelet based on resource allocation in the branched headt (bht-A1) near isogenic lines

Contact Info

Product

Resources

About