Effects of Plant Population, Row Spacing, and Relative Maturity on Dryland Corn in the Northern Plains. I. Corn Forage and Grain Yield 1

1974 ◽  
Vol 66 (2) ◽  
pp. 316-319 ◽  
Author(s):  
J. Alessi ◽  
J. F. Power
Keyword(s):  
Grain Yield ◽  
Plant Population ◽  
Row Spacing ◽  
Northern Plains

scholarly journals Increasing population density reduces soybean yield components and productivity

2021 ◽  
Vol 37 ◽  
pp. e37042
Author(s):  
Marcelo De Almeida Silva ◽  
Ana Carolina De Santana Soares ◽  
Melina Rodrigues Alves Carnietto ◽  
Alexandrius De Moraes Barbosa
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Spatial Arrangement ◽  
Plant Population ◽  
Row Spacing ◽  
Individual Plant ◽  
Growth Type ◽  
Soybean Yield ◽  
Plant Densities ◽  
Plant Yields

Studies addressing the interaction of different spatial arrangement in soybean are needed in order to achieve management that leads to higher grain yield associated with rational seed use. The objective of this work was to evaluate the yield components and productivity of an undetermined growth type soybean as a function of different row spacing and plant densities. The treatments consisted of three row spaces (0.25, 0.35 and 0.45 m) and three plant population densities (30, 40 and 50 plants/m²). There was no interaction of row spaces and plant population on soybean yield. Regarding the overall spacing average, the grain yield of the population of 30/m² plants was higher than the productivity of the populations of 40 and 50/m² plants. The largest populations reduce plant sizes due to greater competition between plants. In addition, smaller populations promote higher individual plant yields due to the increase components of the production. This characteristic is defined as the ability of the plant to change its morphology and yield components in order to adapt to the conditions imposed by the spatial arrangement.

scholarly journals Plant population and row spacing effects on corn: Plant growth, phenology, and grain yield

2020 ◽  
Vol 112 (4) ◽  
pp. 2456-2465 ◽  
Author(s):  
Brad J. Bernhard ◽  
Frederick E. Below
Keyword(s):  
Plant Growth ◽  
Grain Yield ◽  
Plant Population ◽  
Row Spacing ◽  
Corn Plant ◽  
Spacing Effects

scholarly journals Popping expansion and yield responses of popcorn cultivars under different row spacings and plant populations

2013 ◽  
Vol 48 (12) ◽  
pp. 1538-1545
Author(s):  
José Antonio de Souza Rossato Junior ◽  
Disnei Amélio Cazetta ◽  
José Carlos Barbosa ◽  
Domingos Fornasieri Filho
Keyword(s):  
Weight Loss ◽  
Experimental Design ◽  
Grain Yield ◽  
Agronomic Traits ◽  
Plant Population ◽  
Grain Weight ◽  
Field Conditions ◽  
Row Spacing ◽  
Plant Populations ◽  
Yield Responses

The objective of this work was to evaluate the agronomic traits and the popping expansion index of three Brazilian popcorn cultivars under different row spacings and plant populations. The trials were performed during two crop seasons, under field conditions. The experimental design used was a randomized complete block, in a split-split plot, with 27 treatments and four replicates. Treatments were represented in a triple factorial arrangement: three row spacings (0.40, 0.60, and 0.80 m), three plant populations (40,000, 60,000, and 80,000 plants per hectare), and three popcorn cultivars (IAC-TC 01, IAC 12, and Zelia). The increase in plant population causes a reduction in the number of grains per ear, lower prolificacy, and grain weight loss. Cultivar grain yield is affected by row spacing and popcorn plant population. Cultivar IAC 12 shows highest grain yield under row spacings of 0.40 and 0.60 m and plant population between 60,000 and 80,000 plants per hectare. The popping expansion index is not affected by row spacing or plant population.

scholarly journals YIELD AND DEVELOPMENT OF MUNG BEAN ACCORDING TO THE PLANT DENSITY

2019 ◽  
Vol 6 (4) ◽  
pp. 14-20 ◽  
Author(s):  
Edvan Costa da Silva ◽  
Nei Peixoto ◽  
Natália Arruda ◽  
Natália Cássia de Faria Ferreira ◽  
Luís Augusto Batista de Oliveira
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Mung Bean ◽  
Plant Density ◽  
Plant Population ◽  
Stem Diameter ◽  
Row Spacing ◽  
Optimal Population ◽  
Pod Length ◽  
Bean Crop

The study aimed to determine the optimal population density for mung bean crop by defining row spacing, and number of plants per meter. The experimental design was a randomized block with treatments arranged in a split-plot scheme with four replications. Two row spacings (25 and 50 cm) were allocated in the plots, and six number of plants per meter (4, 8, 12, 16, 20, and 24 plants) were allocated in the subplots. The experimental units had 4.0 m long, and 2.5 m wide, with 4.0 m2 of useful area. In the useful area of plot, plant height, stem diameter, number of pods per plot, pod length, pod width, number of grains per pod, 100-pods weight, 100-grains weight, final plant population, and grain yield were evaluated. Plant height, pod length, pod width, number of grains per pod, and 100-pod weight were not influenced by row spacing and number of plants per meter. There was influence of significant interaction between the factors studied on 100-grains weight and final plant population. There was a significant effect only of number of plants per meter on stem diameter, number of pods per plot, and grain yield. The row spacing of 50 cm and 24 plants per meter increased mung bean grain yield, revealing itself as a strategy of gain in the grain yield of the crop.

scholarly journals Effects of plant population and row spacing on grain yield of aerial-sown and drill-sown rice

2020 ◽  
Vol 71 (3) ◽  
pp. 219 ◽  
Author(s):  
B. W. Dunn ◽  
T. S. Dunn ◽  
J. H. Mitchell ◽  
J. Brinkhoff
Keyword(s):  
Grain Yield ◽  
Water Productivity ◽  
Plant Population ◽  
Yield Potential ◽  
Row Spacing ◽  
Rice Grain ◽  
Plant Populations ◽  
Rice Varieties ◽  
Eastern Australia ◽  
The Impact

Objective guidelines about plant population are essential to ensure that yield potential of rice grain is not compromised. Drill-sowing of rice is increasing in popularity in many rice-growing regions of the world in response to a requirement for increased water productivity, but little information is available on row-spacing widths required to maximise grain yield potential. This research investigated the impacts of plant population on grain yield and yield components for aerial- and drill-sown rice, and the effects of row-spacing width for drill-sown rice grown in a temperate environment. Ten aerial-sown and five drill-sown experiments were conducted in south-eastern Australia over three seasons using four semi-dwarf rice varieties. Plant populations ranged from 7 to 396 plants m–2. Plant populations as low as 30 plants m–2 were able to achieve grain yields >12 t ha–1 but only when the plants were uniformly distributed. At a population of ~100 plants m–2, the impact of plant-stand distribution was negligible. Grain yield was maintained across a large range of plant populations, mainly through compensatory effects of more tillers per plant and more grains per panicle at lower plant populations. For aerial-sown rice, maximum grain yield (up to 14.9 t ha–1) was always achieved with a minimum plant population of 100 plants m–2, and likewise for drill-sown rice provided the row spacing was ≤27 cm. At equivalent plant populations, 36-cm row spacing produced lower grain yield than narrower row spacings. When large gaps existed between plants within the rows, neighbouring plants could not compensate for the gap at the wider 36-cm row spacing, and grain yield was reduced. A practical optimal plant population of 100–200 plants m–2 was found to be suitable for the semi-dwarf varieties used in this study for both aerial- and drill-sowing methods.

Interference of Three Annual Grasses with Grain Sorghum (Sorghum bicolor)

1990 ◽  
Vol 4 (2) ◽  
pp. 245-249 ◽  
Author(s):  
Brenda S. Smith ◽  
Don S. Murray ◽  
J. D. Green ◽  
Wan M. Wanyahaya ◽  
David L. Weeks
Keyword(s):  
Linear Regression ◽  
Grain Yield ◽  
Field Experiments ◽  
Grain Sorghum ◽  
Grass Species ◽  
Row Spacing ◽  
Yield Data ◽  
Weed Density ◽  
Annual Grasses ◽  
Wide Row Spacing

Barnyardgrass, large crabgrass, and Texas panicum were evaluated in field experiments over 3 yr to measure their duration of interference and density on grain sorghum yield. When grain yield data were converted to a percentage of the weed-free control, linear regression predicted a 3.6% yield loss for each week of weed interference regardless of year or grass species. Grain sorghum grown in a narrow (61-cm) row spacing was affected little by full-season interference; however, in wide (91-cm) rows, interference increased as grass density increased. Data from the wide-row spacing were described by linear regression following conversion of grain yield to percentages and weed density to log10. A separate nonlinear model also was derived which could predict the effect of weed density on grain sorghum yield.

scholarly journals Variable-rate in corn sowing for maximizing grain yield

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eder Eujácio da Silva ◽  
Fábio Henrique Rojo Baio ◽  
Daniel Fernando Kolling ◽  
Renato Schneider Júnior ◽  
Alex Rogers Aguiar Zanin ◽  
...  
Keyword(s):  
Grain Yield ◽  
Vegetative Growth ◽  
Maximum Yield ◽  
Influential Factors ◽  
Plant Population ◽  
Seeding Density ◽  
Corn Yield ◽  
Growth Indices ◽  
Experimental Conditions ◽  
Soil Attributes

AbstractSowing density is one of the most influential factors affecting corn yield. Here, we tested the hypothesis that, according to soil attributes, maximum corn productivity can be attained by varying the seed population. Specifically, our objectives were to identify the soil attributes that affect grain yield, in order to generate a model to define the optimum sowing rate as a function of the attributes identified, and determine which vegetative growth indices can be used to predict yield most accurately. The experiment was conducted in Chapadão do Céu-GO in 2018 and 2019 at two different locations. Corn was sown as the second crop after the soybean harvest. The hybrids used were AG 8700 PRO3 and FS 401 PW, which have similar characteristics and an average 135-day cropping cycle. Tested sowing rates were 50, 55, 60, and 65 thousand seeds ha−1. Soil attributes evaluated included pH, calcium, magnesium, phosphorus, potassium, organic matter, clay content, cation exchange capacity, and base saturation. Additionally, we measured the correlation between the different vegetative growth indices and yield. Linear correlations were obtained through Pearson’s correlation network, followed by path analysis for the selection of cause and effect variables, which formed the decision trees to estimate yield and seeding density. Magnesium and apparent electrical conductivity (ECa) were the most important soil attributes for determining sowing density. Thus, the plant population should be 56,000 plants ha−1 to attain maximum yield at ECa values > 7.44 mS m−1. In addition, the plant population should be 64,800 plants ha−1 at values < 7.44 mS m−1 when magnesium levels are greater than 0.13 g kg−1, and 57,210 plants ha−1 when magnesium content is lower. Trial validation showed that the decision tree effectively predicted optimum plant population under the local experimental conditions, where yield did not significantly differ among populations.

SEED-ORIENTED PLANTING IMPROVES LIGHT INTERCEPTION, RADIATION USE EFFICIENCY AND GRAIN YIELD OF MAIZE (Zea mays L.)

2016 ◽  
Vol 53 (2) ◽  
pp. 210-225 ◽  
Author(s):  
GUILHERME M. TORRES ◽  
ADRIAN KOLLER ◽  
RANDY TAYLOR ◽  
WILLIAM R. RAUN
Keyword(s):  
Grain Yield ◽  
Canopy Structure ◽  
Maize Yield ◽  
Light Interception ◽  
Plant Population ◽  
Radiation Use Efficiency ◽  
Seed Placement ◽  
Use Efficiency ◽  
The Difference ◽  
Radiation Use

SUMMARYSeed-oriented planting provides a manner to influence canopy structure. The purpose of this research was to improve maize light interception using seed-oriented planting to manipulate leaf azimuth across the row thereby minimizing leaf overlap. To achieve leaf azimuths oriented preferentially across the row, seeds were planted: (i) upright with caryopsis pointed down, parallel to the row (upright); and (ii) laying flat, embryo up, perpendicular to the row (flat). These treatments were compared to conventionally planted seeds with resulting random leaf azimuth distribution. Seed orientation effects were contrasted with three levels of plant population and two levels of hybrid specific canopy structures. Increased plant population resulted in greater light interception but yield tended to decrease as plant population increased. The planophile hybrid produced consistently greater yields than the erectophile hybrid. The difference between planophile and erectophile hybrids ranged from 283 to 903 kg ha−1. Overall, mean grain yield for upright and flat seed placement increased by 351 and 463 kg ha−1 compared to random seed placement. Greater cumulative intercepted photosynthetically active radiation (CIPAR) was found for oriented seeds rather than random-oriented seeds. At physiological maturity upright, flat and random-oriented seeds intercepted 555, 525 and 521 MJ m−2 of PAR, respectively. Maize yield responded positively to improved light interception and better radiation use efficiency. Under irrigated conditions, precision planting of maize increased yield by 9 to 14% compared to random-oriented seeds.

Effects of Planting Density on Leaf Area and Productivity of Two Maize Cultivars in Nigeria

1982 ◽  
Vol 18 (1) ◽  
pp. 93-100 ◽  
Author(s):  
S. U. Remison ◽  
E. O. Lucas
Keyword(s):  
Grain Yield ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Dry Matter ◽  
Plant Population ◽  
Planting Density ◽  
Dry Matter Yield ◽  
Area Index ◽  
Positive Correlation ◽  
Maize Cultivars

SUMMARYTwo maize cvs, FARZ 23 and FARZ 25, were grown at three densities (37,000, 53,000 and 80,000 plants/ha) in 1979 and 1980. Leaf area index (LAI) increased with increase in plant population and was at a maximum at mid-silk. Grain yield was highest at 53,000 plants/ha. There was no relation between LAI and grain yield but there was a positive correlation between LAI and total dry matter yield.

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