scholarly journals Weed Interference and Growth Performances in Soybean (Glycine max (L.) Merr.), as affected by Weed Density and Types of Weed

2021 ◽  
Vol 10 (01) ◽  
pp. 15-23
Author(s):  
Sawatdikarn Sanit
Agronomy ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1909
Author(s):  
John T. Sanders ◽  
Eric A. L. Jones ◽  
Robert Austin ◽  
Gary T. Roberson ◽  
Robert J. Richardson ◽  
...  

Field studies were conducted in 2016 and 2017 to determine if multispectral imagery collected from an unmanned aerial vehicle (UAV) equipped with a five-band sensor could successfully identify Palmer amaranth (Amaranthus palmeri) infestations of various densities growing among soybeans (Glycine max [L.] Merr.). The multispectral sensor captures imagery from five wavebands: 475 (blue), 560 (green), 668 (red), 840 (near infrared [NIR]), and 717 nm (red-edge). Image analysis was performed to examine the spectral properties of discrete Palmer amaranth and soybean plants at various weed densities using these wavebands. Additionally, imagery was subjected to supervised classification to evaluate the usefulness of classification as a tool to differentiate the two species in a field setting. Date was a significant factor influencing the spectral reflectance values of the Palmer amaranth densities. The effects of altitude on reflectance were less clear and were dependent on band and density being evaluated. The near infrared (NIR) waveband offered the best resolution in separating Palmer amaranth densities. Spectral separability in the other wavebands was less defined, although low weed densities were consistently able to be discriminated from high densities. Palmer amaranth and soybean were found to be spectrally distinct regardless of imaging date, weed density, or waveband. Soybean exhibited overall lower reflectance intensity than Palmer amaranth across all wavebands. The reflectance of both species within blue, green, red, and red-edge wavebands declined as the season progressed, while reflectance in NIR increased. Near infrared and red-edge wavebands were shown to be the most useful for species discrimination and maintained their utility at most weed densities. Palmer amaranth weed densities were found to be spectrally distinct from one another in all wavebands, with greatest distinction when using the red, NIR and red-edge wavebands. Supervised classification in a two-class system was consistently able to discriminate between Palmer amaranth and soybean with at least 80% overall accuracy. The incorporation of a weed density component into these classifications introduced an error of 65% or greater into these classifications. Reducing the number of classes in a supervised classification system could improve the accuracy of discriminating between Palmer amaranth and soybean.


Author(s):  
R. W. Yaklich ◽  
E. L. Vigil ◽  
W. P. Wergin

The legume seed coat is the site of sucrose unloading and the metabolism of imported ureides and synthesis of amino acids for the developing embryo. The cell types directly responsible for these functions in the seed coat are not known. We recently described a convex layer of tissue on the inside surface of the soybean (Glycine max L. Merr.) seed coat that was termed “antipit” because it was in direct opposition to the concave pit on the abaxial surface of the cotyledon. Cone cells of the antipit contained numerous hypertrophied Golgi apparatus and laminated rough endoplasmic reticulum common to actively secreting cells. The initial report by Dzikowski (1936) described the morphology of the pit and antipit in G. max and found these structures in only 68 of the 169 seed accessions examined.


2017 ◽  
Vol 2 (02) ◽  
pp. 204-218
Author(s):  
Hendra Saputra ◽  
Intan Sari ◽  
Muhammad Arfah
Keyword(s):  

Penelitian tentang pengaruh pemberian Pupuk organik cair (POC) asal limbah tumbuhan terhadap serapan hara N dan P serta produksi tanaman kedelai (Glycine max (L) Merrill) di lahan gambut telah dilaksanakan di kampus II Unisi Fakultas Pertanian Jl. Lintas Propinsi Parit 01, Desa Pulau Palas, Kecamatan Tembilahan Hulu, Kabupaten Indragiri Hilir Propinsi Riau. Dimulai dari bulan Agustus sampai bulan Oktober 2013. Tujuan dari penelitian ini untuk mendapatkan POC asal limbah tumbuhan yang terbaik untuk serapan hara N dan P serta produksi tanaman kedelai di lahan gambut. Penelitian ini menggunakan rancangan acak kelompok (RAK) faktor tunggal dengan 7 perlakuan dan 4 ulangan, 2 tanaman dijadikan sampel. Perlakuan dosis POC limbah tanaman pisang dan POC limbah sayur kol yang diberikan yaitu 0 L/Ha, 200 L/Ha, 400 L/Ha dan 600 L/Ha. Parameter pengamatan yaitu : serapan hara N dan P pada fase awal generatif, tinggi tanaman, jumlah bintil akar, polong hampa, produksi perplot, berat 100 biji dan brangkasan kering. Data pengamatan dianalisis dengan sidik ragam (ANOVA) dan dilanjutkan dengan Uji Lanjut Tukey HSD pada taraf 5%. Berdasarkan penelitian yang telah dilaksanakan dapat disimpulkan bahwa pemberian POC asal limbah tumbuhan tidak berpengaruh nyata terhadap serapan hara N dan P, tinggi tanaman, jumlah bintil akar, polong hampa, brangkasan kering tetapi berpengaruh nyata terhadap produksi perplot dan berat 100 biji.


2018 ◽  
Vol 1 (2) ◽  
pp. 96
Author(s):  
Siti Wahyuni ◽  
Umi Trisnaningsih ◽  
Meilina Prasetyo
Keyword(s):  

1970 ◽  
pp. 09
Author(s):  
K. SANKAR GANESH ◽  
P. SUNDARAMOORTHY

Heavy metals are one of the most important pollutants released to the aquatic environment by the various industrial activities. The use of these wastewater for irrigation results accumulation of heavy metals in soil and plants. So, the present investigation deals with the various concentrations (0, 5, 10, 25, 50, 100, 200 and 300 mg/l) of copper and zinc on germination studies of soybean. The different concentrations of copper and zinc were used for germination studies. The seedlings were allowed to grow upto seven days. The studied morphological traits increased at 5 mg/l concentration and these parameters are gradually decreased with the increase of copper and zinc concentrations.


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