Yield-density relationships and optimum plant populations in two cultivars of solid-seeded dry bean (Phaseolus vulgaris L.) grown in Saskatchewan

2002 ◽  
Vol 82 (3) ◽  
pp. 521-529 ◽  
Author(s):  
Steven J. Shirtliffe ◽  
Adrian M. Johnston
Keyword(s):  
Seed Weight ◽  
Plant Density ◽  
Maximum Yield ◽  
Plant Population ◽  
Seeding Density ◽  
Seeding Rate ◽  
Higher Plant ◽  
Plant Populations ◽  
Dry Bean ◽  
Density Relationship

There is relatively little agronomic information on solid-seeded production of dry bean in western Canada. Recommended seeding density for dry bean can depend on the growth habit of the plant, the yield–density relationship, percent emergence, seed cost and environment. The objective of this study was to determine the yield–density relationships in two determinate bush type cultivars of dry bean and the optimum plant population under solid-seeded production in Saskatchewan. CDC Camino, a late-season pinto bean and CDC Expresso, a medium-season-length black bean were the cultivars evaluated. In most sites, the yield-density relationship of the cultivars was asymptotic and an optimum plant density for maximum yield could not be determined. Camino generally required a lower plant population to reach a given yield than Expresso. Increasing plant population did not affect 1000-seed weight. Higher seeding rate did result in a greater number of seeds produced m-2, with Expresso having a greater increase in seed produced m-2 compared with Camino. Expresso was required to be at higher plant densities than Camino to maximize economic returns. This reflects the differences between cultivars in yield-density relationship and seed cost, as Camino has a heavier 1000-seed weight than Expresso. Saskatchewan bean growers wishing to maximize profit should target plant populations for Expresso and Camino of approximately 50 and 25 plants m-2, respectively. Key words: Saskatchewan, yield components, non-linear regression, seeding rate, narrow rows, solid-seeded

EFFECT OF PLANT DENSITY ON DEVELOPMENT AND YIELD OF RAPESEED AND ITS SIGNIFICANCE TO RECOVERY FROM HAIL INJURY

1987 ◽  
Vol 67 (1) ◽  
pp. 43-51 ◽  
Author(s):  
D. I. McGREGOR
Keyword(s):  
Brassica Napus ◽  
Seed Yield ◽  
Seed Weight ◽  
Dry Matter ◽  
Brassica Campestris ◽  
Plant Density ◽  
Plant Population ◽  
Plant Populations ◽  
Brassica Napus L ◽  
Stage Of Development

The ability of rapeseed crops (Brassica campestris L. ’Torch’ and B. napus L. ’Tower’) to recover from, and compensate for, loss of plants at the early vegetative stage of development was investigated by hand thinning plant populations established at commercial seeding rates with commercial seeding equipment. Plant density was reduced from 100-200 plants m−2 to 40 plants m−2 with less than a 20% loss in seed yield. Seeds per pod and seed weight in some instances increased with reduced plant density. However, compensation was attributed predominantly to an increased number of pods on the remaining plants, which increased from 20-90 to as many as 600. Branching increased from as few as 3 to, in some instances, almost 40. With reduced plant population there was a tendency for increased and prolonged accumulation of dry matter by the plants following flowering.Key words: Brassica campestris L., Brassica napus L., rapeseed, development, seed yield, hail.

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.

Studies on mixtures of maize and beans (Phaseolus vulgaris) with particular reference to plant population

1972 ◽  
Vol 79 (3) ◽  
pp. 517-529 ◽  
Author(s):  
R. W. Willey ◽  
D. S. O. Osiru
Keyword(s):  
Competitive Ability ◽  
Maximum Yield ◽  
Plant Population ◽  
Population Pressure ◽  
Nitrogen Transfer ◽  
Replacement Series ◽  
Plant Populations ◽  
Intensive Farming ◽  
Optimum Proportion ◽  
High Level

SUMMARYTwo experiments are described in which the possible yield benefits of mixing maize and beans were examined under intensive farming conditions. A ‘replacement series’ of pure maize, two-thirds maize/one-third beans, one-third maize/two-thirds beans and pure beans was used at four plant populations. A high level of nitrogen was applied on the maize to eliminate the effects of nitrogen transfer from the beans.Yields of the mixtures were up to 38% higher than could be achieved by growing the crops separately. It is concluded that this occurred because the mixtures achieved a greater utilization of environmental resources; it is suggested that, because of the marked height differences of the two crops, an increased utilization of light was probably a major contributing factor. The need for high populations in mixtures is indicated, partly because the largest yield increases were achieved at high populations and partly because the mixtures required a higher population pressure to produce their maximum yield.The maize was found to have the higher relative competitive ability, and this increased with increase in plant population pressure. It is suggested that this was probably due to the shading effect which the maize had on the beans. The effects of a change in relative competitive abilities, or in relative selling prices, on the optimum proportion of two species in a mixture are also considered.

scholarly journals Performance of cotton genotype TCH 1819 to high density planting system under winter irrigated condition at the Western agroclimatic zone of Tamil Nadu

2021 ◽  
Vol 13 (SI) ◽  
pp. 130-134
Author(s):  
R. Sowmiya ◽  
N. Sakthivel
Keyword(s):  
Tamil Nadu ◽  
Plant Density ◽  
Unit Area ◽  
Maximum Yield ◽  
Winter Season ◽  
Plant Population ◽  
Growth And Yield ◽  
Row Spacing ◽  
Area Index ◽  
Cotton Genotype

Plant population is an important attribute in crop management practice. Increasing the plant density by decreasing the crop row spacing was an alternative strategy to optimize crop profit. Hence, the field trial was conducted at Tamil Nadu Agricultural University, Coimbatore, during the winter season of 2017 – 18 to study the effect of row spacing on the growth and yield of cotton genotype TCH 1819. The experimental design was Randomized Block Design (RBD) with seven spacing treatments viz., T1: 60 x 15 cm (1,11,111 plants ha-1), T2: 60 x 20 cm (83,333 plants ha-1), T3: 75 x 15 cm (88,888 plants ha-1), T4: 75 x 20 cm (66,666 plants ha-1), T5: 75 x 30 cm (44,444 plants ha-1), T6: 90 x 15 cm (74074 plants ha-1), T7: 90 x 20cm (55,555 plants ha-1) and was replicated thrice.  Plant densities showed a significant (p=0.05) difference for all the characters studied.  The higher plant density of 1,11,111 plants (60 x 15 cm) observed significantly (p=0.05) maximum plant height (103.14 cm), Leaf Area Index (LAI) (4.35), Dry Matter Production (DMP) (8125 kg/ha), Crop Growth Rate (CGR) (6.58 g/m2/day), root length (41.46 cm), root dry weight (14.94 g/plant), and chlorophyll index (48.24).  The number of sympodial branches per plant (17) and bolls per plant (22 bolls) was found significant in the wider spacing of 75 x 30 cm.  The narrow spacing of 60 x 15 cm noted the highest seed cotton yield (2565 kg/ha), net return (R65706.62), and B: C (2.32) ratio, followed by the spacing of 75 x 15 cm due to more plant density per unit area (m2).  So, maximum yield in cotton can be achieved by decreasing the row spacing and increasing the plant population per unit area.

scholarly journals PLANT SPACING AND NITROGEN INFLUENCE ON STRAWBERRY GROWTH AND FRUITING

HortScience ◽  
1990 ◽  
Vol 25 (4) ◽  
pp. 399c-399
Author(s):  
Elden J. Stang ◽  
Gavin G. Weis
Keyword(s):  
Plant Population ◽  
Fruit Yield ◽  
Growth And Yield ◽  
Higher Plant ◽  
Plant Populations ◽  
Available N ◽  
Berry Size ◽  
Plant Densities ◽  
Nitrogen Treatments ◽  
Population Effects

`Raritan' and `Guardian' strawberry were grown in the matted row system with controlled plant densities of 1, 2, 3, 4 or 5 plants/0.09m2 for comparison to a non-thinned matted row averaging 9 plants/0.09m2. Nitrogen treatments were superimposed on plant spacings at 3 week intervals in preharvest and postharvest applications. Total seasonal available N was 0, 36, 54 and 76 kg/ha. Fruit yield per plant decreased as plant population increased. Berry size declined with increased plant population but number of fruit per plant was not influenced. For both cultivars, plant populations of 4 to 5 plants/0.09m2 resulted in maximum fruit yield. Number of branch crowns for all treatments was 2.5-3.5/plant in the second growing season. Branch crown numbers were reduced with higher plant populations. N effects were independent of plant population effects and did not compensate for lower yields at low plant populations in more or larger berries. Optimum water management may be more important than N fertilizer in determing strawberry plant growth and yield.

scholarly journals LUCERNE ESTABLISHMENT PRECISION VERSUS CONVENTIONAL SOWING METHODS

1974 ◽  
pp. 163-171
Author(s):  
Ralph E.H. Sims
Keyword(s):  
Dry Matter ◽  
Plant Population ◽  
Seeding Rate ◽  
Higher Plant ◽  
Population Counts

Lucerne was sown at several sowing rates with both a roller drill and a precision seeder. Plant population counts and dry matter yields were recorded at regular intervals. The high seeding rate treatments showed higher plant mortalities than those sown at lower rates, resulting in a tendency for the population to reach an optimum, regardless of sowing method or rate. There were no significant differences obtained in the dry matter yeilds obtained from any treatment. Thus it would appear that precision seeding techniques enable lower seeding rates of lucerne to be sown successfully, owing to the better distribution of the seeds by the drill.

scholarly journals Density of plants is the important indicator of onion yield

2020 ◽  
pp. 33-37
Author(s):  
Natalia Ivanovna Matveeva ◽  
Vyacheslav Petrovich Zvolinsky
Keyword(s):  
Agricultural Sector ◽  
Plant Density ◽  
Growing Season ◽  
Seeding Density ◽  
Seeding Rate ◽  
Scientific Center ◽  
Important Indicator ◽  
Lower Volga Region ◽  
Number Of Leaves ◽  
Academy Of Sciences

During sowing turnip onions, the largest part of the costs incurred is the purchase of seed material. Increasing the rate of sowing seeds does not always pay off the costs of their acquisition. The aim of our work was to identify the optimal plant density of onion plants in the conditions of the Lower Volga region for one-time mechanized harvesting of onions. The research was carried out on subtypes of light chestnut soils in the conditions of land use of the Caspian Agrarian Federal Scientific Center of the Russian Academy of Sciences of the Astrakhan Region during 2016–2019. As a result of our research, it was revealed that changes in the density of onion sowing affect the growth and development of plants. A significant varietal sign was the length of the period from mass shoots to bulb ripening. This indicator changed not so much from the variety or hybrid, but how much from the density of the plants on one hectare. With an increase in the seeding rate, the duration of the growing season also increased. In addition to the growing season, the seeding density also affected biometric indicators. With a decrease in the seeding rate per hectare, the number of leaves increased. Depending on the hybrid or variety, the maximum number of leaves ranged from 34–38 to 22–28 pieces. And with an increase in the seeding rate per hectare, the number of leaves on the bulb decreased. It was also noted that the size of the leaves was larger than with other sowing schemes. We believe that this is due to the most thickened sowing. The article will be interesting to students and teachers of agronomic faculties, as well as workers in the agricultural sector.

scholarly journals PLANT DENSITY AND FIELD GERMINATION OF WINTER TRITICALE DEPENDING ON VARIETY AND NORMAL SEEDING SEEDS

2018 ◽  
Vol 13 (4) ◽  
pp. 83-86
Author(s):  
Леонид Шашкаров ◽  
Leonid Shashkarov ◽  
Светлана Толстова ◽  
Svetlana Tolstova
Keyword(s):  
Plant Density ◽  
Maximum Yield ◽  
Stand Density ◽  
Weather Conditions ◽  
Planting Density ◽  
Seeding Rate ◽  
Southeastern Part ◽  
Winter Triticale ◽  
Field Germination ◽  
Plant Stand

The article deals with the issues of plant density and field germination of winter triticale on gray forest soils of the southeastern part of the Volga-Vyatka zone depending on the variety and seeding rates. The question of establishing the optimum density of sowing, the area of food for grain crops served as the object of study by many researchers. The urgency of the issue of creating optimal sowing density is explained by the fact that the factors that determine the magnitude of the yield are constantly changing. The plant stand density and field germination of winter triticale are significantly influenced by the weather conditions formed during the growing season of winter triticale plants. With an increase in seeding rates, the plant stand density and seeding rate increases, respectively, is important for the formation of a given density of productive stalks. In production, these elements of technology are often underestimated and often unjustifiably overestimate the seeding rate, which is absolutely unnecessary, since the really possible yield is achieved at an optimal seeding rate with minimal seed consumption. The winter triticale seeding rates, both in Russia and in the world as a whole varies from 2 to 8 million viable seeds per hectare. The urgency of the issue of creating optimal sowing density is explained by the fact that the factors that determine the magnitude of the yield are constantly changing. Until now, there is no consensus on the dependence of planting density on the degree of fertility. Some researchers believe that nutrient-rich soil requires less seed for maximum yield. Under these conditions, the plants develop better, they bush more, the maximum yield can be obtained with a lower seeding rate. The opposite opinion that it is necessary to sow thicker on rich soils has become widespread, especially in recent years. Advocates of the bottom conclusion explain their point of view by the fact that fertile soil has a greater supply of food and moisture, therefore, more plants can be grown on the same area, which means that the seeding rate should be increased [1,2.3,4.5,6,7]. Research results indicate that winter triticale with increasing seeding rates increases plant density and field germination of winter triticale plants.

scholarly journals Maize Yield Components as Affected by Plant Population, Planting Date and Soil Coverings in Brazil

Agriculture ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 579
Author(s):  
Gustavo Castilho Beruski ◽  
Luis Miguel Schiebelbein ◽  
André Belmont Pereira
Keyword(s):  
Yield Components ◽  
Management Practices ◽  
Field Experiments ◽  
Plant Density ◽  
Bare Soil ◽  
Plant Population ◽  
Positive Trend ◽  
Plant Populations ◽  
Potential Yield ◽  
Final Yield

The potential yield of annual crops is affected by management practices and water and energy availabilities throughout the crop season. The current work aimed to assess the effects of plant population, planting dates and soil covering on yield components of maize. Field experiments were carried out during the 2014–2015 and 2015–2016 growing seasons at areas grown with oat straw, voluntary plants and bare soil, considering five plant populations (40,000, 60,000, 80,000, 100,000 and 120,000 plants ha−1) and three sowing dates (15 September, 30 October and 15 December) for the hybrid P30F53YH in Ponta Grossa, State of Paraná, Brazil. Non-impacts of soil covering or plant population on plant height at the flowering phenological stage were observed. Significant effects of soil covering on yield components and final yield responses throughout the 2014–2015 season were detected. An influence of plant populations on yield components was evidenced, suggesting that, from 80,000 plants ha−1, the P30F53YH hybrid performs a compensatory effect among assessed yield components in such a way as to not compromise productivity insofar as the plant population increases up to 120,000 plants ha−1. It was noticed, a positive trend of yield components and crop final yield as a function of plant density increments.

scholarly journals Effects of plant population and nitrogen fertilizer on yield and efficiency of maize-bean intercropping

2003 ◽  
Vol 38 (11) ◽  
pp. 1257-1264 ◽  
Author(s):  
Luiz Balbino Morgado ◽  
Robert William Willey
Keyword(s):  
Nitrogen Fertilizer ◽  
Fertilizer Application ◽  
Plant Population ◽  
Bean Plant ◽  
Dry Matter Accumulation ◽  
Higher Plant ◽  
Plant Populations ◽  
Nitrogen Levels ◽  
Sole Cropping ◽  
Basic Parameters

Nitrogen supply and plant population are basic parameters for cereal-legume intercropping. In order to study plant population and nitrogen fertilizer effects on yield and yield efficiency of maize-bean intercropping, a field experiment was established. Three bean plant populations and three nitrogen levels were used. Maize dry matter accumulation decreased with increases in bean plant population. Competitive effect of intercrop beans on maize yields was high at higher plant populations, being decreased by nitrogen fertilizer; application of 50 kg ha-1 N was very efficient in increasing maize cob yield. Intercropping significantly decreased harvest index of beans in all plant population and nitrogen fertilizer situations. The efficiency of intercropping, compared to sole cropping, was evidenced by the values obtained for Land Equivalent Ratio (LER) for biomass, cob and pod yields that increased with increases in bean plant populations and nitrogen fertilizer levels.

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