scholarly journals High-Input Management Systems Effect on Soybean Seed Yield, Yield Components, and Economic Break-Even Probabilities

Crop Science ◽  
2016 ◽  
Vol 56 (4) ◽  
pp. 1988-2004 ◽  
Author(s):  
John M. Orlowski ◽  
Bryson J. Haverkamp ◽  
Randall G. Laurenz ◽  
David. A. Marburger ◽  
Eric W. Wilson ◽  
...  
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Soybean Seed ◽  
Management Systems ◽  
High Input

Partitioning Soybean Seed Yield Components 1

Crop Science ◽  
1982 ◽  
Vol 22 (5) ◽  
pp. 1074-1079 ◽  
Author(s):  
S. J. Herbert ◽  
G. V. Litchfield
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Soybean Seed ◽  
Seed Yield Components

Response of barley yield and yield components to nitrogen rate under low and high input management systems

1991 ◽  
Vol 71 (1) ◽  
pp. 71-80 ◽  
Author(s):  
B. J. Zebarth ◽  
R. W. Sheard
Keyword(s):  
Yield Components ◽  
Cost Effective ◽  
N Fertilization ◽  
Grain Weight ◽  
Management Systems ◽  
High Input ◽  
Seeding Rate ◽  
Southern Ontario ◽  
Yield And Yield Components ◽  
1000 Grain Weight

Increasing rates of nitrogen (N) fertilization may increase disease and lodging in cereals. As a result, use of high-input management (HIM) systems, which use growth regulators to control lodging and fungicides to control disease, may allow a greater increase in yield due to N fertilization than occurs in conventional low input management (LIM) systems. The study was conducted to determine the influence of two management systems on the response of yield and yield components of barley (Hordeum vulgare L.) to N fertilization and to determine if use of a HIM system was cost-effective under southern Ontario growing conditions. Barley, cv. Leger, was grown at eight rates of N fertilization under either HIM or LIM systems in 10 environments in southern Ontario. The response of grain and straw yield to N rate was not significantly different between management systems; however, the maximum economic yield occurred at a significantly higher N rate under the HIM system (90 kg N ha−1) than under the LIM system (71 kg N ha−1). The number of heads m−2 was higher under the HIM system than under the LIM system whereas the reverse was true for grains head−1. Increased N rate resulted in increased 1000-grain weight under the HIM system but had little influence on 1000-grain weight under the LIM system. Over the duration of the study, the increased revenue obtained under the higher input management system was generally less than the cost of the added inputs used, emphasizing the need for threshold values which producers can use to determine when crop protection inputs are likely to be cost-effective. Key words: Fungicide, growth regulator, seeding rate, nitrogen, barley

scholarly journals Research Article Performance of soybean seed yield components in a non-preferential cropping season

2019 ◽  
Vol 18 (4) ◽  
Author(s):  
M. Peter ◽  
I.R. Carvalho ◽  
L.L. Ferreira ◽  
V.J. Szareski ◽  
G.H. Demari ◽  
...  
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Soybean Seed ◽  
Research Article ◽  
Cropping Season ◽  
Seed Yield Components

Response of Soybean Yield Components to 2,4-D

Weed Science ◽  
2013 ◽  
Vol 61 (1) ◽  
pp. 68-76 ◽  
Author(s):  
Andrew P. Robinson ◽  
Vince M. Davis ◽  
David M. Simpson ◽  
William G. Johnson
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Yield Loss ◽  
Soybean Seed ◽  
Visual Assessment ◽  
Main Stem ◽  
Specific Yield ◽  
Growth Stages ◽  
Yield And Yield Components ◽  
Soybean Plants

Soybean plants exposed POST to 2,4-D can have reduced seed yield depending on the dose and time of exposure, but it is unclear how 2,4-D affects specific yield components. Objectives were to quantify soybean injury, characterize changes in seed yield and yield components of soybean plants exposed to 2,4-D, and determine if seed-yield loss can be estimated from visual assessment of crop injury. Ten rates (0, 0.1, 1.1, 11.2, 35, 70, 140, 280, 560, and 2,240 g ae ha−1) of 2,4-D were applied to Becks brand 342 NRR soybean at three soybean growth stages (V2, V5, or R2). The soybeans were planted near Lafayette, IN and Urbana, IL in 2009 and 2010 and near Fowler, IN in 2009. Twenty percent visual soybean injury was caused by 29 to 109 g ha−12,4-D at 14 d after treatment (DAT) and 109 to 245 g ha−1at 28 DAT. Nonlinear regression models were fit to describe the effect of 2,4-D on seed yield and yield components of soybean. Seed yield was reduced by 5% from 87 to 116 g ha−1and a 10% reduction was caused by 149 to 202 g ha−12,4-D at all application timings. The number of seeds m−2, pods m−2, reproductive nodes m−2, and nodes m−2were the most sensitive yield components. Path analysis indicated that seeds m−2, pods m−2, main stem reproductive nodes m−2, and main stem nodes m−2were the most influential yield components in seed-yield formation. Seed-yield loss was significant (P < 0.0001) and highly correlated (R2= 0.95 to 0.99) to visual soybean injury ratings. A 10% seed-yield loss was caused by 35% soybean injury observed at 14 DAT, whereas a 10% seed-yield loss was a result of 40, 19, and 15% soybean injury observed at 28 DAT when soybean was exposed to 2,4-D at the V2, V5, and R2 growth stages, respectively.

Combining ability and heterosis studies across environments in linseed (Linum usitatissimum L.)

2011 ◽  
Vol 59 (1) ◽  
pp. 87-102 ◽  
Author(s):  
S. Sood ◽  
N. Kalia ◽  
S. Bhateria
Keyword(s):  
Seed Yield ◽  
Linum Usitatissimum ◽  
Combining Ability ◽  
Yield Components ◽  
Block Design ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Component Traits ◽  
Parental Lines ◽  
Fibre Yield

Combining ability and heterosis were calculated for fourteen lines of linseed in a line × tester mating design using twelve lines and two diverse testers in two different environments. The hybrids and parental lines were raised in a completely randomized block design with three replications to investigate seed and fibre yield and their component traits. Genetic variation was significant for most of the traits over environments. Combining ability studies revealed that the lines KL-221 and LCK-9826 were good general combiners for seed yield and most of its components, whereas LMH-62 and LC-2323 were good general combiners for yield components only. Moreover, KL-221 was also a good general combiner for fibre yield. Similarly, B-509 and Ariane were good general combiners for fibre yield and most of its components. Among the specific cross combinations, B-509 × Flak-1 was outstanding for seed yield per plant and B-509 × KL-187 and LC-2323 × LCK-9826 for fibre yield per plant, with high SCA effects. In general, the hybrids excelled their respective parents and the standard checks for most of the characters studied. Based on the comparison of mean performance, SCA effects and the extent of heterosis, the hybrids LC-2323 × LCK-9826 and B-509 × KL-221 appeared to be the most promising for both seed and fibre yield. Other promising combinations were LC-2323 × KL-210 and B-509 × Ariane for seed and fibre yield, respectively. The superiority of LC-2323, LCK-9826, KL-221, B-509 and Ariane as good general combiners was further confirmed by the involvement of these parents in the desirable cross combinations.

Combining Ability of Plant Height and Yield components in Indian Mustard (Brassica junceaL.Czern & Coss.) under Salt affected Soil using Line×Tester Analysis

2016 ◽  
Vol 3 (2) ◽  
Author(s):  
SHAILESH CHAND GAUTAM ◽  
MP Chauhan
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Combining Ability ◽  
Yield Components ◽  
Indian Mustard ◽  
Heritability Estimate ◽  
Genetic Effects ◽  
Narrow Sense ◽  
Narrow Sense Heritability ◽  
Additive Genetic Effects

Line × tester analysis of twenty lines and three testers of Indian mustard (Brassica juncea L. Czern & Coss.) cultivars were used to estimate general combining ability (GCA), specific combining ability (SCA) effects, high parent heterosis and narrow-sense heritability estimate for plant height, yield components and seed yield. Significant variance of line x tester for the traits like pods per plant and seed yield indicating non additive genetic effects have important role for controlling these traits. Significant mean squares of parents v/s crosses which are indicating significant average heterosis were also significant for all the traits except seeds per pod. High narrow-sense heritability estimates for all the traits except seeds per pod exhibited the prime importance of additive genetic effects for these traits except seeds per pod. Most of the crosses with negative SCA effect for plant height had at least one parent with significant negative or negative GCA effect for this trait. For most of the traits except pods per plant, the efficiency of high parent heterosis effect was more than SCA effect for determining superior cross combinations.

Influence of Day and Night Temperature on Soybean Seed Yield

Crop Science ◽  
1996 ◽  
Vol 36 (1) ◽  
pp. 98-104 ◽  
Author(s):  
L. R. Gibson ◽  
R. E. Mullen
Keyword(s):  
Seed Yield ◽  
Soybean Seed ◽  
Night Temperature
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