Seeding Rate Effects on Soybean Maturity Group IV-VIII for the Southeastern Production System: I. Vegetation Indices

2011 ◽  
Vol 103 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Guihua Chen ◽  
Pawel Wiatrak
Keyword(s):  
Production System ◽  
Vegetation Indices ◽  
Group Iv ◽  
Seeding Rate ◽  
Maturity Group ◽  
Rate Effects

scholarly journals Water Use Efficiencies of Different Maturity Group Soybean Cultivars in the Humid Mississippi Delta

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1496
Author(s):  
Srinivasa R. Pinnamaneni ◽  
Saseendran S. Anapalli ◽  
Daniel K. Fisher ◽  
Krishna N. Reddy
Keyword(s):  
Glycine Max ◽  
Water Resources ◽  
Experimental Design ◽  
Grain Yield ◽  
Water Use ◽  
Production System ◽  
Mississippi Delta ◽  
Maturity Group ◽  
Glycine Max L ◽  
Water Use Efficiencies

Introducing alternative cultivars with enhanced water use efficiencies can help alleviate pressure on groundwater for crop irrigations in Mississippi (MS) Delta. A two-year field study was conducted in 2019–2020 to compare the water use efficiencies (WUE) of recently released and pre-released soybean {Glycine max (L.) Merr.} cultivars in maturity group (MG) III (‘P37A78’, ‘LG03-4561-14’), IV (‘Dyna-gro 4516x’, ‘DS25-1, DT97-4290’), and V (‘S12-1362’, ‘S14-16306’) in the MS Delta. The experimental design was a split-plot with cultivar as the first factor and the second factor was water variant irrigation (IR) and no irrigation (RF, rainfed), replicated three times. The MG IV cultivar Dyna-gro 4516x recorded the highest grain yield and WUE: grain yields were 4.58 Mg ha−1 and 3.89 Mg ha−1 under IR and RF, respectively in 2019, and 4.74 Mg ha−1 and 4.35 Mg ha−1 in 2020. The WUE were 7.2 and 6.9 kg ha−1 mm−1, respectively, in 2019 under IR and RF, and 13.4 and 16.9 kg ha−1 mm−1 in 2020. The data reveals that ‘Dyna-gro 4516x’ (MG IV), ‘LG03-4561-14’ (MG III), and ‘P37A78’ (MG III) are best adapted to the early soybean production system (ESPS) in MS Delta region for sustainable production for conserving water resources.

Row Spacing and Seeding Rate Effects on Eastern Black Nightshade (Solanum Ptycanthum) and Soybean

2007 ◽  
Vol 21 (1) ◽  
pp. 124-130 ◽  
Author(s):  
Adrienne M. Rich ◽  
Karen A. Renner
Keyword(s):  
Dry Weight ◽  
Field Studies ◽  
Production Costs ◽  
Row Spacing ◽  
Seeding Rate ◽  
Soybean Yield ◽  
Eastern Black Nightshade ◽  
Solanum Ptycanthum ◽  
Black Nightshade ◽  
Rate Effects

Reducing seeding rates in 19- or 76-cm row soybean below the optimum rate may reduce soybean competitiveness with weeds, and indirectly increase production costs to the grower. Field studies in 2001 and 2002 evaluated the effect of soybean seeding rate and row spacing on the emergence, growth, and competitiveness of eastern black nightshade (EBN) in soybean. EBN emergence ceased within 45 d after planting (DAP), and was similar across soybean seeding rates and row spacing. EBN control by glyphosate was not affected by soybean population or row spacing. Soybean planted in 19-cm rows was more competitive with EBN, regardless of seeding rate. Increasing the soybean seeding rate in 76-cm rows from 185,000 seeds/ha to 432,000 seeds/ha reduced EBN dry weight threefold at East Lansing and nearly twofold at Clarksville in 2002. There was no increase in EBN density or dry weight in 19-cm row soybean planted at 308,000 seeds/ha compared with 556,000 seeds/ha, whereas a seeding rate of 432,000 seeds/ha in 76-cm row soybean did not suppress EBN dry weight or increase soybean yield in the presence of EBN compared with a seeding rate of 308,000 seeds/ha.

scholarly journals Effect of nurse crops and seeding rate on the persistence, productivity and nutritive value of sainfoin in a cereal‐based production system

2020 ◽  
Vol 75 (1) ◽  
pp. 86-95
Author(s):  
Harun Cicek ◽  
Serkan Ates ◽  
Gazi Ozcan ◽  
Mehmet Tezel ◽  
Jennifer G. Kling ◽  
...  
Keyword(s):  
Production System ◽  
Nutritive Value ◽  
Seeding Rate ◽  
Nurse Crops

Seeding rate effects on yield components and forage quality of Agaitti Berseem-2002 – an improved variety of berseem clover

2019 ◽  
Vol 33 (4) ◽  
pp. 522-535 ◽  
Author(s):  
M.S. Tufail ◽  
G.L. Krebs ◽  
A. Southwell ◽  
J.W. Piltz ◽  
P.C. Wynn
Keyword(s):  
Yield Components ◽  
Forage Quality ◽  
Seeding Rate ◽  
Rate Effects ◽  
Berseem Clover
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