Economic optimum plant density of irrigated early-maturity soybean in southern Alberta

2021 ◽  
Author(s):  
Tram T.N. Thai ◽  
Danny G. Le Roy ◽  
Manjula S. Bandara ◽  
James E. Thomas ◽  
Francis J Larney
Keyword(s):  
Plant Density ◽  
Profit Maximization ◽  
Seeding Density ◽  
Early Maturity ◽  
Growing Seasons ◽  
Southern Alberta ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
The Difference ◽  
Lower Plant

With soybean [Glycine max (L.) Merr.] seed cost increasing in Alberta, understanding economic optimum plant density (EOPD) could help growers save on input expenses. A study was conducted at two irrigated locations in southern Alberta (Bow Island and Lethbridge), in three growing seasons (2014–16), using two maturity group (MG) 00 soybean genotypes, two row spacings (RS; narrow, 17.5 cm; wide, 35 cm), and three seeding densities (SD; 30, 50 and 80 seeds m-2). Exponential plant density-yield relationships were used to estimate EOPD. The earlier MG 00.4 genotype compensated yield at lower plant density (39 vs. 43 plants m-2) and emergence (74 vs. 80%) than the later MG 00.8 genotype. The EOPD gaps between environments, genotypes, and RS were minimal (from 1–3 plants m-2), resulting in only 1.3–2.0% differences in grain yield (37–56 kg ha-1), and gross revenue at EOPD ($16–24 ha-1). The overall EOPD estimate was 46 plants m-2, regardless of environment, genotype or RS. The study highlighted the difference between agronomic production and profit maximization in choosing an optimum plant density, and the need to establish a seeding density calculator for irrigated soybean in southern Alberta.

Westward expansion of soybean: adaptability of maturity group 00 genotypes to row spacing and seeding density under irrigation in southern Alberta

2019 ◽  
Vol 99 (5) ◽  
pp. 715-733
Author(s):  
Tram T.N. Thai ◽  
Francis J. Larney ◽  
James E. Thomas ◽  
Manjula S. Bandara ◽  
Doon G. Pauly
Keyword(s):  
Grain Yield ◽  
Seeding Density ◽  
Row Spacing ◽  
Maturity Group ◽  
Early Maturity ◽  
Canadian Prairies ◽  
Westward Expansion ◽  
Southern Alberta ◽  
Soybean Genotypes ◽  
Glycine Max L

Soybean [Glycine max (L.) Merr.] production has moved rapidly westward on the Canadian prairies, most recently arriving in southern Alberta. Adjusting row spacing (RS) and seeding density (SD) to maximize soybean productivity is well-documented for rainfed conditions but not where irrigation is obligatory. A 3 yr study was conducted at two irrigated locations in southern Alberta using two early-maturity [maturity group 00] soybean genotypes planted at two RSs and three SDs. Soybean reached 95% maturity in 114–132 d and only one of six growing environments experienced a killing frost prior to maturity. Wide rows led to 1 d earlier maturity for one genotype in all six environments and increased grain yield (5%–20%) in four out of six environments compared with narrow rows. Increasing SD from 30 to 80 seeds m−2 generally led to increased pod clearance (from 5.0 to 8.4 cm in one environment) and grain (mean increase of 33%, from 2100 to 2800 kg ha−1) and straw yield, but decreased seeds plant−1 (from 94 to 46). Notwithstanding 9% lower cumulative corn heat units during the study, and an average 5 d longer maturity requirement at Lethbridge, soybean performance was equal to Bow Island in many parameters including grain yield. Our findings will help develop recommendations for new soybean growers in the irrigated region of southern Alberta.

scholarly journals Influence of different sowing density in two varieties of maize. Part I. Relation to yielding

2021 ◽  
Vol 58 (2) ◽  
pp. 199-208
Author(s):  
Katarzyna Ambroży-Deręgowska ◽  
Piotr Szulc
Keyword(s):  
Plant Density ◽  
Unit Area ◽  
Weather Conditions ◽  
Stay Green ◽  
First Order ◽  
Growing Seasons ◽  
Maize Varieties ◽  
Order Factor ◽  
Green Mass Yield ◽  
Lower Plant

Summary A study was carried out to determine the effect of sowing density on the yield of maize of two different varieties. The field experiment was carried out in 2012–2014 at the Department of Agronomy of Poznań University of Life Sciences. The first-order factor was the variety: SY Cooky and Drim “stay-green”; the second-order factor was sowing density: 6, 7, 8, 9, 10 plants per m2. Weather conditions during the maize growing seasons significantly influenced the values of the studied traits. Significantly the lowest green mass yield of maize was obtained at the sowing density of 6 plants m−2, and the highest for 10 plants m−2. The “stay-green” variety significantly responded to an increase in sowing density with reduced fresh weight of leaf blades of a single plant compared with the conventional variety. This indicated highly effective photosynthesis with a lower plant density per unit area, which is also the basis for effective absorption of solar radiation for these maize varieties.

scholarly journals Effect of seed coating on the yield of soybean Glycine max (L.) Merr.  

2021 ◽  
Author(s):  
Wacław Jarecki ◽  
Justyna Wietecha
Keyword(s):  
Seed Yield ◽  
Plant Density ◽  
Weather Conditions ◽  
Soybean Seeds ◽  
Agricultural Practice ◽  
Plant Analysis ◽  
Area Index ◽  
Coating Application ◽  
Glycine Max L ◽  
The Difference

Enhanced seeds, e.g. dressed, encrusted or pelleted seeds, are often sown in agricultural practice. These treatments play a different role depending on the type and chemical composition of the preparation. The aim of the experiment was to compare the effectiveness of three coatings (B – chitosan, C – chitosan + alginate/jojoba oil/E and D – chitosan + alginate/PEG) applied to soybean seeds in comparison to control (A). The study was carried out in three cultivars: Annushka, Mavka and Smuglyanka. The coatings did not differentiate seed yield in 2018 due to favourable weather conditions. The use of coating D in the following years increased seed yield by 0.46 t/ha in 2019 and by 0.51 t/ha in 2020 compared to control. The obtained results allow concluding that coating D was the most effective in soybean cultivation. The field emergence capacity, plant density as well as the SPAD (soil plant analysis development) and LAI (leaf area index) indices were significantly increased compared to control as a result of this coating application. The g<sub>s</sub> index (stomatal leaf conductance) was significantly reduced. The cv. Smuglyanka yields were significantly higher compared to cvs. Mavka and Annushka, by 0.32 t/ha and 0.85 t/ha, respectively. The difference in seed yield between 2018 and 2019 was 0.81 t/ha.  

Identification of novel haplotype of a cyst nematode resistance gene, GmSNAP18 in soybean [Glycine max (L.) Merr.]

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Ik-Young Choi ◽  
Prakash Basnet ◽  
Hana Yoo ◽  
Neha Samir Roy ◽  
Rahul Vasudeo Ramekar ◽  
...  
Keyword(s):  
Soybean Cyst Nematode ◽  
Gene Families ◽  
Nematode Resistance ◽  
Cyst Nematode ◽  
Soybean Breeding ◽  
Resistant Varieties ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Scn Resistance

Soybean cyst nematode (SCN) is one of the most damaging pest of soybean. Discovery and characterization of the genes involved in SCN resistance are important in soybean breeding. Soluble NSF attachment protein (SNAP) genes are related to SCN resistance in soybean. SNAP genes include five gene families, and 2 haplotypes of exons 6 and 9 of SNAP18 are considered resistant to the SCN. In present study the haplotypes of GmSNAP18 were surveyed and chacterized in a total of 60 diverse soybean genotypes including Korean cultivars, landraces, and wild-types. The target region of exons 6 and 9 in GmSNAP18 region was amplified and sequenced to examine nucleotide variation. Characterization of 5 haplotypes identified in present study for the GmSNAP18 gene revealed two haplotypes as resistant, 1 as susceptible and two as novel. A total of twelve genotypes showed resistant haplotypes, and 45 cultivars were found susceptible. Interestingly, the two novel haplotypes were present in 3 soybean lines. The information provided here about the haplotypic variation of GmSNAP18 gene can be further explored for soybean breeding to develop resistant varieties.

scholarly journals Response of Soybean (Glycine max (L.) Merrill) to Mineral Nitrogen Fertilization and Bradyrhizobium japonicum Seed Inoculation

Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1300
Author(s):  
Janusz Prusiński ◽  
Anna Baturo-Cieśniewska ◽  
Magdalena Borowska
Keyword(s):  
Nitrogen Fertilization ◽  
Bradyrhizobium Japonicum ◽  
Plant Density ◽  
Higher Plants ◽  
High Sensitivity ◽  
N Fertilization ◽  
Mineral N ◽  
Plant Nitrogen ◽  
Seed Inoculation ◽  
Glycine Max L

A growing interest in soybean cultivation in Poland has been observed in the recent years, however it faces a lot of difficulties resulting from a poorly understood effectiveness of plant nitrogen fertilization and from the introduction of Bradyrhizobium japonicum to the environment. The aim of the study was to evaluate the consistency of response of two soybean cultivars to three different rates of mineral N fertilization and two seed inoculation treatments with B. japonicum in field conditions over four years regardless of previous B. japonicum presence in the soil. A highly-diversified-over-years rainfall and temperature in the growing season do not allow for a definite statement of the differences resulting from seed inoculation and mineral N fertilization applied separately or jointly in soybean. A high sensitivity of the nodulation process to rainfall deficits was noted, which resulted in a decreased amount of B. japonicum DNA measured in qPCR and dry matter of nodules. ‘Annushka’ demonstrated a higher yield of seeds and protein, higher plants and the 1st pod setting. ‘Aldana’, due to a significant decrease in plant density, produced a higher number of pods, seeds per pod and the 1000 seed weight per plant. Both cultivars responded with an increase in the seed yield after seed inoculation with HiStick, also with an application of 30 and 60 kg N, as well as with Nitragina with 60 kg N.

scholarly journals Non-submodular model for group profit maximization problem in social networks

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jianming Zhu ◽  
Smita Ghosh ◽  
Weili Wu ◽  
Chuangen Gao
Keyword(s):  
Social Networks ◽  
Profit Maximization ◽  
Randomized Algorithm ◽  
Political Orientation ◽  
Submodular Functions ◽  
Maximization Problem ◽  
Modular Algorithm ◽  
The Difference ◽  
Group Enterprise ◽  
Theoretical Results

AbstractIn social networks, there exist many kinds of groups in which people may have the same interests, hobbies, or political orientation. Sometimes, group decisions are made by simply majority, which means that most of the users in this group reach an agreement, such as US Presidential Elections. A group is called activated if $$\beta$$ β percent of users are influenced in the group. Enterprise will gain income from all influenced groups. Simultaneously, to propagate influence, enterprise needs pay advertisement diffusion cost. Group profit maximization (GPM) problem aims to pick k seeds to maximize the expected profit that considers the benefit of influenced groups with the diffusion cost. GPM is proved to be NP-hard and the objective function is proved to be neither submodular nor supermodular. An upper bound and a lower bound which are difference of two submodular functions are designed. We propose a submodular–modular algorithm (SMA) to solve the difference of two submodular functions and SMA is shown to converge to a local optimal. We present an randomized algorithm based on weighted group coverage maximization for GPM and apply sandwich framework to get theoretical results. Our experiments verify the efficiency of our methods.

Nonsubmodular Constrained Profit Maximization in Attribute Networks

2021 ◽  
Author(s):  
Liman Du ◽  
Wenguo Yang ◽  
Suixiang Gao
Keyword(s):  
Profit Maximization ◽  
Logistic Function ◽  
Influence Maximization ◽  
Maximization Problem ◽  
Cardinality Constraint ◽  
Three Phase ◽  
Marginal Increment ◽  
The Difference ◽  
Classical Influence ◽  
Influence Maximization Problem

The number of social individuals who interact with their friends through social networks is increasing, leading to an undeniable fact that word-of-mouth marketing has become one of the useful ways to promote sale of products. The Constrained Profit Maximization in Attribute network (CPMA) problem, as an extension of the classical influence maximization problem, is the main focus of this paper. We propose the profit maximization in attribute network problem under a cardinality constraint which is closer to the actual situation. The profit spread metric of CPMA calculates the total benefit and cost generated by all the active nodes. Different from the classical Influence Maximization problem, the influence strength should be recalculated according to the emotional tendency and classification label of nodes in attribute networks. The profit spread metric is no longer monotone and submodular in general. Given that the profit spread metric can be expressed as the difference between two submodular functions and admits a DS decomposition, a three-phase algorithm named as Marginal increment and Community-based Prune and Search(MCPS) Algorithm frame is proposed which is based on Louvain algorithm and logistic function. Due to the method of marginal increment, MPCS algorithm can compute profit spread more directly and accurately. Experiments demonstrate the effectiveness of MCPS algorithm.

Assessment of Yield and Yield Component of Soybean Genotypes (Glycine Max L.) in North of Khuzestan

2018 ◽  
Vol 21 (5) ◽  
pp. 435-441 ◽  
Author(s):  
Sina Ghanbari ◽  
Ahmad Nooshkam ◽  
Barat Ali Fakheri ◽  
Nafiseh Mahdinezhad
Keyword(s):  
Glycine Max ◽  
Yield Component ◽  
Soybean Genotypes ◽  
Glycine Max L

scholarly journals PLANT DENSITY AND NITROGEN FERTILIZATION ON COMMON BEAN NUTRITION AND YIELD

2017 ◽  
Vol 30 (3) ◽  
pp. 670-678 ◽  
Author(s):  
ROGÉRIO PERES SORATTO ◽  
TIAGO ARANDA CATUCHI ◽  
EMERSON DE FREITAS CORDOVA DE SOUZA ◽  
JADER LUIS NANTES GARCIA
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Nitrogen Fertilization ◽  
Dry Matter ◽  
Plant Density ◽  
N Fertilization ◽  
N Concentration ◽  
Plant Densities ◽  
N Rates ◽  
Lower Plant

ABSTRACT The objective of this work was to evaluate the effect of plant densities and sidedressed nitrogen (N) rates on nutrition and productive performance of the common bean cultivars IPR 139 and Pérola. For each cultivar, a randomized complete block experimental design was used in a split-plot arrangement, with three replicates. Plots consisted of three plant densities (5, 7, and 9 plants ha-1) and subplots of five N rates (0, 30, 60, 120, and 180 kg ha-1). Aboveground dry matter, leaf macro- and micronutrient concentrations, yield components, grain yield, and protein concentration in grains were evaluated. Lower plant densities (5 and 7 plants m-1) increased aboveground dry matter production and the number of pods per plant and did not reduce grain yield. In the absence of N fertilization, reduction of plant density decreased N concentration in common bean leaves. Nitrogen fertilization linearly increased dry matter and leaf N concentration, mainly at lower plant densities. Regardless of plant density, the N supply linearly increased grain yield of cultivars IPR 139 and Pérola by 17.3 and 52.2%, respectively.

CH4 Emissions Reduction Potential of Rice Paddy Ecosystem in South Jiangsu Province

2013 ◽  
Vol 734-737 ◽  
pp. 1820-1823
Author(s):  
Lei Zhong ◽  
Hui Zou ◽  
Xin Hao
Keyword(s):  
Reduction Potential ◽  
Rice Paddy ◽  
Jiangsu Province ◽  
Emissions Reduction ◽  
Temporal And Spatial Variation ◽  
Growing Seasons ◽  
Paddy Ecosystem ◽  
Variation Characteristics ◽  
Temporal And Spatial ◽  
The Difference

Estimating the reduction potential of methane (CH4) emissions in order to provide some advices for reducing them in paddy ecosystem. In order to study the temporal and spatial variation characteristics and the reduction potential of CH4emissions, conducting a database of CH4emissions of rice growing seasons and rice growing area in the study area. From 2001 to 2010, both the rice growing area and the CH4emission of south Jiangsu province shown a declining trend. In these 10 years, total CH4emissions decreased by 29.90×1010g, a drop of 30.72%. Base on the rice growing area in 2010, the total reduction potential of CH4emissions was 46.18×1010g in south Jiangsu province. From 2001 to 2010, the difference of CH4emissions per unit area between the cities were not big, their CH4emissions reduction was mainly due to a reduction of rice growing area.

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