root sampling
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2021 ◽  
Vol 12 ◽  
Author(s):  
Ki-Seung Kim ◽  
Se-Hun Kim ◽  
Jaeyoung Kim ◽  
Pooja Tripathi ◽  
Jeong-Dong Lee ◽  
...  

The root is the most critical plant organ for water and nutrient acquisition. Although the root is vital for water and nutrient uptake, the diverse root characters of soybean still need to be identified owing to the difficulty of root sampling. In this study, we used 150 wild and 50 cultivated soybean varieties to collect root image samples. We analyzed root morphological traits using acquired-image. Except for the main total length (MTL), the root morphological traits for most cultivated and wild plants were significantly different. According to correlation analysis, the wild and cultivated plants showed a significant correlation among total root length (TRL), projected area (PA), forks, total lateral length (TLL), link average diameter, and MTL. In particular, TRL was highly correlated with PA in both cultivated (0.92) and wild (0.82) plants compared with between MTL (0.43 for cultivated and 0.27 for wild) and TLL (0.82 for cultivated and 0.52 for wild). According to principal component analysis results, both plants could be separated; however, there was some overlap of the traits among the wild and cultivated individuals from some regions. Nevertheless, variation among the cultivated plants was higher than that found in the wild plants. Furthermore, three groups, including MTL, TLL, and the remaining traits, could explain all the variances.


Root Research ◽  
2021 ◽  
Vol 30 (1) ◽  
pp. 5-7
Author(s):  
Akimasa NAKANO ◽  
Eriko MASUDA ◽  
Yoshiyuki ISHIHARA

2021 ◽  
Vol 51 (5) ◽  
Author(s):  
Bruno Henrique Tondato Arantes ◽  
Victor Hugo Moraes ◽  
Alaerson Maia Geraldine ◽  
Tavvs Micael Alves ◽  
Alice Maria Albert ◽  
...  

ABSTRACT: Soybean is one of the main crop species grown in the world. However, there is a decline in productivity due to the various types of stress, including the nematodes Heterodera glycines and Pratylenchus brachyurus. The objectives were to determine the best spectral band for detecting H. glycines and P. brachyurus at the beginning of flowering (R1). Soil and root sampling was conducted at nine sampling sites in each of the five nematode-infested regions, totaling 45 sampling points. Flights were made at all regions using Phantom 4 Advanced, Sequoia and 14-band customized Sentera. For H. glycines, the red spectral band best explained the variability on soil and root nematode counts as well as the second stage of juveniles in soil. For P. brachyurus, Sentera RedEdge best explained the variability in root nematode counts and Sequoia NIR best explained soil juveniles. A multiple linear regression model using spectral data for detecting P. brachyurus and H. glycines improved R² compared to simple linear regressions. At flowering growth stage (R1), soybean spectral reflectance was associated with the number of H. glycines and P. brachyurus on soil and roots using low-cost and multispectral sensors.


Root Research ◽  
2020 ◽  
Vol 29 (4) ◽  
pp. 84-85
Author(s):  
Akimasa NAKANO ◽  
Heikurou TAKAMIZAWA
Keyword(s):  

Author(s):  
Flor E Acevedo ◽  
Mauricio Jiménez ◽  
Juan P Pimentel ◽  
Pablo Benavides

Abstract Root mealybugs are important pests of coffee in many parts of the world. Despite the importance of these insects very little is known about their biology, ecology, and coffee susceptibility at different developmental stages. This study determined the effects of coffee tree pruning on root biomass, the number and within-plant spatial distribution of root-associated mealybugs, and weed-mealybug associations near coffee root systems. We made destructive root sampling of pruned and non-pruned coffee trees every 3 mo during the first-year post-pruning. In each sampling, we quantified coffee root biomass, and the number and spatial distribution of mealybug genera. Mealybugs feeding on weed roots were sampled every 2 wk for the duration of 10 wk. We identified the mealybug genera Puto Signoret (Hemiptera: Putoidae), Dysmicoccus Ferris (Hemiptera: Pseudococcidae), Ripersiella Tinsley (Hemiptera: Rhizoecidae), Rhizoecus Künckel (Hemiptera: Rhizoecidae), and Geococcus Green (Hemiptera: Pseudococcidae) associated with coffee roots. Species from Puto and Ripersiella were the most abundant representing 91% of the total mealybugs found in non-pruned trees, and 75% of the ones found in pruned trees. Coffee tree pruning reduced root biomass by 60% and mealybug numbers during the first 9 mo post-pruning. Mealybugs associated with a variety of weeds growing near coffee roots increased their number during the first 6 wk after coffee pruning. Our results suggest that coffee tree pruning causes a high percentage of root death, which correlates with a decrease of root-associated mealybugs that probably migrate to weed roots. This study provides basic information for designing mealybug control strategies in pruned coffee trees. Las cochinillas de las raíces son plagas importantes del café en varias partes del mundo. A pesar de la importancia de estos insectos se conoce muy poco sobre su biologia, ecología y sobre la susceptibilidad de plantas de café en diferentes etapas de desarrrollo. Este estudio determinó el efecto de la poda de árboles de café en la biomasa de raíces, el número y la distribución espacial in-planta de cochinillas asociadas a las raíces, y asociaciones de cochinillas con arvenses en el plato de los árboles de café. Se realizaron muestreos destructivos de raíces en árboles de café podados y no podados cada tres meses durante el primer año después de la poda. Las cochinillas alimentándose de raíces de arvenses fueron muestreadas cada dos semanas durante diez semanas. En cada muestreo se cuantificó la biomasa de raíces de café, se identificó el género de cochinillas, su cantidad y su distribución espacial. Se identificaron los géneros de cochinillas Puto Signoret (Hemiptera: Putoidae), Dysmicoccus Ferris (Hemiptera: Pseudoccocidae), Ripersiella Tinsley (Hemiptera: Rhizoecidae), Rhizoecus Künckel (Hemiptera: Rhizoecidae), y Geococcus Green (Hemiptera: Pseudococcidae) asociados a raíces de café. Especies de Puto y Ripersiella fueron las más abundantes representando el 91% del total de cochinillas encontradas en árboles no podados y el 75% de aquellas encontradas en árboles podados. La poda de árboles de café redujo la biomasa de raíces en un 60% y el número de cochinillas durante los primeros nueve meses después de la poda. Las cochinillas asociadas a varias especies de arvenses presentes en los platos de los árboles de café incrementaron su número durante las primeras seis semanas después de la poda de los árboles. Los resultados de este estudio sugieren que la poda de árboles de café causa una alta muerte de raíces, lo cual se correlaciona con una reducción en las cochinillas quienes probablemente migran hacia las raíces de las arvenses. Este estudio proporciona información básica para el diseño de estrategias de control de cochinillas en árboles de café podados.


2019 ◽  
Vol 26 (4) ◽  
pp. 562-566
Author(s):  
Elaheh Mohammadi ◽  
Amin Gohari ◽  
Farokh Marvasti

2018 ◽  
Vol 18 (1) ◽  
pp. 80
Author(s):  
Mursal Ghazali, Hijjatul Husna, Sukiman

Abstrak Alga merah (Rhodophyta) merupakan tumbuhan tingkat rendah yang umumnya tumbuh  melekat pada substrat tertentu seperti pada karang, lumpur, pasir, batu dan benda keras lainnya. Salah satunya melekat pada mangrove yang merupakan kawasan  bernutrisi tinggi. Salah satu daerah yang memiliki hutan mangrove cukup luas ialah Teluk Serewe Kecamatan Jerowaru Lombok Timur. Penelitian ini bertujuan untuk mengetahui keanekaragaman  jenis dan karakteristik alga merah yang terdapat pada akar mangrove. Pengambilan sampel pada 4 stasiun  menggunakan  metode purposive sampling dan  jelajah pada saat air surut. Jarak pengambilan sampel yaitu 800 m pada setiap stasiun. Berdasarkan hasil penelitian alga merah yang di peroleh sebanyak 11 spesies yaitu, 4 spesies dari genus Bostrychia, 3 spesies dari genus Caloglossa, 2 spesies dari genus Catenella, 1 spesies dari genus Gelidium, 1 spesies dari genus Stictosiphonia. Karakteristik alga merah yang menempel pada akar mangrove yaitu bentuk talus silindris dan menyerupai daun (blade), percabangan dikotom atau monopodial dengan sel polysiphonous..Kata Kunci: Alga merah, Hutan Mangrove, Lingkungan AbstractRed algae are Thallophyta that generally grow attached to certain substrates such as in coral, mud, sand, and other hard objects. One of them is attached to the mangrove which is a highly nutritious area. One of the forests that have mangrove forest is quite wide is Serewe Village, Jerowaru District East Lombok. This study aims to determine the diversity of species and red algae characteristics found in mangrove root. Sampling at four stations using purposive sampling method and roaming at low tide. The distance of sampling is 800m at each station. Based on the results of the study of red algae obtained as many as 11 species, namely 4 species of the genus Bostrychia, 3 species of genus Caloglassa, 2 species of genus Catenella, 1 species of genus Gelidium, 1 species of genus Stictosiphonia. Characteristics of red algae attached to mangrove root that forms cylindrical thallus and has branching leaf (blade) dichotomy or monopodial with polysiphonous cells.Keyword :Red Algae, Mangrove Forest and Environment.


2018 ◽  
Author(s):  
Moritz J. F. Krusche ◽  
Eric Schulz ◽  
Arthur Guez ◽  
Maarten Speekenbrink

AbstractHow do people plan ahead when searching for rewards? We investigate planning in a foraging task in which participants search for rewards on an infinite two-dimensional grid. Our results show that their search is best-described by a model which searches at least 3 steps ahead. Furthermore, participants do not seem to update their beliefs during planning, but rather treat their initial beliefs as given, a strategy similar to a heuristic called root-sampling. This planning algorithm corresponds well with participants’ behavior in test problems with restricted movement and varying degrees of information, outperforming more complex models. These results enrich our understanding of adaptive planning in complex environments.


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