Plant Density Effects on Main Culm and Tiller Development of Grain Sorghum<sup>1</sup>

Gerik, T. J.; Neely, Constance

doi:10.2135/cropsci1987.0011183x002700060027x

Cited by 32 publications

(20 citation statements)

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“…Though optimal plant densities for grain sorghum production differ among geographic regions, research indicates that grain yield generally increases as plant density increases (3,4,5,10,13). At sub‐optimal plant densities grain sorghum head number per plant or seed number per head increased when compared to the recommended plant density (2,4,6,7,10,13). Larson and Vanderlip (8) suggested that grain sorghum's ability to compensate for decreased plant density was related to plant space uniformity.…”

Section: Introductionmentioning

confidence: 92%

Grain Sorghum Response to Row Spacing, Plant Density, and Planter Skips

2005

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Adverse weather and soil conditions may prevent grain sorghum (Sorghum bicolor L. Moench) growers from achieving an evenly spaced, optimum plant density. In these situations, growers must decide whether to replant or manage a grain sorghum crop with uneven and/or lower stands. Research indicated that grain sorghum grain yield response to row spacing was variable and dependent upon environment. In uniform stands, grain sorghum was able to partially compensate for densities below 60,000 plants per acre by producing additional grain heads per plant. Results also indicated that in uniform grain sorghum stands, N at 100 to 150 lb/acre produced the highest grain yield under both high and low plant density conditions. In non‐uniform stands with frequent 6‐ to 9‐ft skips, sorghum had significantly reduced grain yield when compared to a uniform stand or 3‐ft skips. These results do not support reduced N rates in either uniform or uneven grain sorghum stands with less than optimal plant densities.

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Section: Introductionmentioning

confidence: 92%

Grain Sorghum Response to Row Spacing, Plant Density, and Planter Skips

2005

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Section: Predicting Tillering Of Diverse Sorghum Germplasm Across Envmentioning

confidence: 99%

“…Though a significant part of variation in tillering is under genetic control, there is also significant variation in tillering associated with changed environmental and management conditions. On the other hand, an increase in intercepted radiation enhances tillering through the increase of assimilate availability at the tiller sites (Cannell, 1969;Gerik and Neely, 1987;Neuteboom, 1998a, 1998b;Gautier et al, 1999;Lafarge and Hammer, 2002a;Alam et al, 2014a). Assimilate availability for tillering depends on the balance of the demand by other growth processes and the supply of assimilates during tiller formation (Lafarge et al, 2002).…”

Section: Predicting Tillering Of Diverse Sorghum Germplasm Across Envmentioning

confidence: 99%

“…Environmental variation in tillering is mainly driven by assimilate availability at the tiller site during the period of tiller production (Friend, 1965;Honda and Okajima, 1970;Kirby and Faris, 1972;Ong and Marshall, 1979;Kirby et al, 1985;Gerik and Neely, 1987). Management can affect tillering through plant density (Lafarge and Hammer, 2002b), which has been associated with changes in light quality that can influence either hormonal controllers (Deregibus et al, 1983;Ballaré et al, 1987) or assimilate supply (Gerik and Neely, 1987). High temperature increases the demand for leaf growth (Lafarge et al, 1998) and thereby decreases assimilate availability for tillering (Cannell, 1969;Major et al, 1982;Neuteboom, 1998a, 1998b).…”

Section: Predicting Tillering Of Diverse Sorghum Germplasm Across Envmentioning

confidence: 99%

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Predicting Tillering of Diverse Sorghum Germplasm across Environments

Alam

Oosterom

Cruickshank³

et al. 2017

Crop Science

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Prediction of fertile tiller number (FTN) is important for predicting crop leaf area development and provides an avenue to identify genotypes with specific adaptation to variable environments. However, previous tillering prediction models in sorghum [Sorghum bicolor (L.) Moench] were limited to only a few genotypes. This study aimed to develop an approach to predict FTN for a large number of genotypes grown in multiple environments. A set of 756 genotypes from 17 diverse families of a backcross‐derived, sorghum nested association mapping population were evaluated in test cross combinations with a single female tester. Plants were grown in five environments, but not all genotypes were included in all environments. One of the environments was space planted for expression of tillering propensity. Three predictors of tillering were considered: tillering propensity, incident radiation per unit thermal time during the tillering stage, and plant density. These represent the genotypic, environmental, and management effects on FTN, respectively. Based on these predictors, a robust model was developed for 125 genotypes grown in the spaced planting and all four test environments (R2 = 0.85, n = 500). For the independent set of remaining genotypes, the model predicted FTN in each of the four test environments with an accuracy and precision close to that for the training set (R2 = 0.69–0.74). The implications for crop improvement of this predictive capability of FTN are discussed in relation to the opportunities for assessing genetic and management options for specific adaptation, and for removing confounding effects in the analysis of breeding trials.

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“…Increased tillering is also associated with reduced stem size [17]. Temperature and plant density also influence tillering potential [18].…”

Section: Basic Phenological Traits Of Importance In Sorghummentioning

confidence: 99%