Interpreting Relationships between Soil Variables and Soybean Iron Deficiency using Factor Analysis

Liesch, Amanda M.; Diaz, D. A. Ruiz; Mengel, D. B.; Roozeboom, Kraig L.

doi:10.2136/sssaj2011.0379

Cited by 10 publications

(5 citation statements)

References 36 publications

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“…Iron deficiency chlorosis is not related to an absence of Fe in the soil (Hansen et al, 2003). Factors such as DTPA‐extractable Fe, soluble salt concentration, carbonates in the soil, soil pH, and soil NO 3 –N can influence the incidence of IDC (Morris et al, 1990; Hansen et al, 2003; Rogovska et al, 2007; Liesch et al, 2012; Bloom et al, 2011), but in the end, IDC results from low Fe solubility preventing transport of Fe 3+ to the root surface where it is reduced to Fe 2+ to be taken up and used by the plant. In field studies, Inskeep and Bloom (1987) identified that IDC severity increased with greater concentrations of bicarbonate (HCO 3 − ) in soil.…”

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confidence: 99%

Comparison of Field Management Strategies for Preventing Iron Deficiency Chlorosis in Soybean

et al. 2014

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Iron deficiency chlorosis (IDC) is a serious management issue for soybean [Glycine max (L.) Merr.] grown on calcareous soils. Strip trials were established on calcareous Mollisols to study the effects of Fe-ethylene diamine-N,N¢-bis (hydroxy phenyl) acetic acid (EDDHA) in-furrow (IF-Fe) and of an oat (Avena sativa L.) companion crop on two soybean varieties either tolerant or susceptible to IDC. The severity of IDC varied from low to severe within sites. The susceptible variety produced the highest yield in the absence of IDC. In-furrow Fe increased the yield of a variety susceptible to IDC under moderate to severe IDC. The oat companion crop increased yield consistently for the susceptible variety under severe IDC and sometimes reduced yield when oat grew beyond 25 cm in height. The tolerant variety without IDC management produced yields similar to those of the susceptible variety with IF-Fe or an oat companion crop. Oat reduced trifoliate nitrate N and Fe concentration regardless of IDC severity. Trifoliate Fe concentration lowered with IF-Fe, but only when oat was not planted. Grain protein and oil concentration were affected by variety, but were not affected by IDC management. Soil test factors such as soil organic matter (SOM), pH, electrical conductivity (EC), or diethylene triamine phentaacetic acid Fe (Fe-DTPA ) were poor predictors of the severity of IDC. Variety selection is the most important strategy for lessening the severity of IDC. In-furrow application of Fe-EDDHA provides a solution for mitigating moderate to severe IDC and provides less risk than an oat companion crop.

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confidence: 99%

Comparison of Field Management Strategies for Preventing Iron Deficiency Chlorosis in Soybean

et al. 2014

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“…redundant information was removed); moreover, effective information was integrated. Liesch et al (2011) used FA to investigate the relationships between soil variables and the incidence of iron chlorosis in seven locations in western Kansas; they obtained the best possible relationships and explained the incidence of iron chlorosis in soya beans. These results confirmed that FA can be used in large areas and several sites.…”

Section: Discussionmentioning

confidence: 99%

Soil quality assessment via the factor analysis of karst rocky desertification areas in Hunan, China

Deng

Wang

Lü

et al. 2021

Soil Use and Management

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Quantitative evaluation of soil quality (SQ) is of paramount importance to provide a basis for restoring degraded land that affects the living conditions of people in these degraded areas. Amongst land degradation types, karst rocky desertification (KRD) is caused by human disturbance on a fragile karst geo‐ecological environment. However, SQ evaluations have not been widely and correctly used in KRD soil systems due to the complex soil conditions and lack of uniform standards. SQ evaluation can be qualitatively and quantitatively calculated. Soil quality index (SQI) can be used more frequently due to its simplicity and quantitative flexibility. To quantitatively analyse the SQ of four KRD grades in Hunan Province in China, 25 soil properties at 0–20 cm were identified as potential SQ indicators. SQ was assessed via SQI based on a total data set (TDS) and a minimum data set (MDS). Similar to grey relational analysis (GRA), the SQI was ranked as follows: potential KRD>moderate KRD>light KRD>intensive KRD. Total phosphorus, pH, calcium, clay, capillary porosity, biomass nitrogen and microbial biomass phosphorus were selected into the MDS, and they were sensitive to SQ. However, available phosphorus and soil organic carbon were not selected in the MDS. Soil quality in KRD areas could be quantitatively evaluated using SQI via factor analysis. SQ assessment based on the MDS can represent TDS to reduce labour intensity and detection costs. The quantification of SQ under different KRD grades can provide reference for improving SQ in limestone rocky desertification areas.

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“…In high‐pH soils, iron is oxidized to the ferric state (Fe 3+ ), which binds tightly to anions, covalent metals, phosphorus, and soil particles and is unavailable for uptake and transport into the root in Strategy I plants (Marschner & Römheld, 1994). The relative contributions of physical and chemical soil characteristics to soybean iron deficiency have been well characterized during the past two decades (Hansen et al., 2003; Liesch et al., 2012; Robin et al., 2008). A survey of soybean fields exhibiting areas of both iron deficiency symptoms and healthy plants found that pH did not differ significantly between these areas within fields (Hansen et al., 2003), indicating that pH alone does not induce iron deficiency in soybean.…”

Section: Part I: Environmental Factors and Management Of Iron Deficiencymentioning

confidence: 99%

“…The relative contributions of physical and chemical soil characteristics to soybean iron deficiency have been well characterized during the past two decades (Hansen et al, 2003;Liesch et al, 2012;Robin et al, 2008). A survey of soybean fields exhibiting areas of both iron deficiency symptoms and healthy plants found that pH did not differ significantly between these areas within fields (Hansen et al, 2003), indicating that pH alone does not induce iron deficiency in soybean.…”

Section: Phmentioning

confidence: 99%

Iron deficiency in soybean

et al. 2022

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Iron deficiency is an important soybean [Glycine max (L.) Merr.] nutrient deficiency that is easily identified by interveinal chlorosis of the leaves and reduced plant growth, both of which lead to yield reductions. Research in soybean iron deficiency is often segmented into studies on soil characteristics, microbe interactions, specific phenotypes, or genetics of iron efficiency. Joining these areas of research into a comprehensive literature review will advance our understanding of iron deficiency physiology and help to bridge known iron deficiency chlorosis (IDC) resistance loci with plant responses to iron stress. This review investigates what has been accomplished in the areas of phenotyping and genetics of iron deficiency. Furthermore, this work traces iron deficiency physiology research through the plant, beginning with the role of soil, the transport of iron into and through plant tissues, and the eventual deposition in the seed. While IDC is the most phenotyped and genetically mapped trait relating to iron deficiency in soybean, the whole plant is truly affected by and involved in recovery to the stress. While often neglected in iron deficiency research, the soybeanrhizobia relationship is discussed as an area of opportunity for future advancements. Citrate and nicotianamine were identified as important compounds for iron efficiency in several studies and warrant more in-depth investigation. The aim of this review is to analyze research in soybean iron deficiency phenotyping, genetics, and physiology to reveal connections between these areas and facilitate further discoveries. INTRODUCTIONSoybean [Glycine max (L.) Merr.] is a highly valued oil crop worldwide as well as an important source of protein in both livestock feed and human diets (Masuda & Goldsmith, 2009). Consumed directly, soybean is an important dietary source of both protein and iron in developing countries (Messina, 1999). In 2020, soybean was planted on 33.6 million ha in

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Interpreting Relationships between Soil Variables and Soybean Iron Deficiency using Factor Analysis

Cited by 10 publications

References 36 publications

Comparison of Field Management Strategies for Preventing Iron Deficiency Chlorosis in Soybean

Comparison of Field Management Strategies for Preventing Iron Deficiency Chlorosis in Soybean

Soil quality assessment via the factor analysis of karst rocky desertification areas in Hunan, China

Iron deficiency in soybean

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