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WinRHIZO 是一套用于洗根后的分析根系的多功能軟件系統(tǒng)，可以分析根系長度、直徑、面積、體積、根尖記數(shù)等，功能強大，操作簡單，廣泛運用于根系形態(tài)和構(gòu)造研究。儀器內(nèi)置專門的雙光源照明系統(tǒng)，有效地去除了陰影和不均勻現(xiàn)象的影響，從而提供高分辨率的彩色圖像和黑白圖像，讀取TIFF，JPEG 標準格式的圖像。并采用非統(tǒng)計學(xué)方法測量計算出交叉重疊部分根系長度等參數(shù)，大大提高了分析結(jié)果的準確性。同時，Pro版軟件還可以進行更加復(fù)雜的根系顏色分析、連接分析、拓撲分析和分級伸展分析。
—— 測量參數(shù) ——
根系整體參數(shù)：總根長、平均直徑、總表面積、總投影面積、總體積、根尖數(shù)、分支數(shù)和交叉數(shù)等。
根直徑等級分布參數(shù)：根長、表面積、投影面積、體積、根尖數(shù)。
根系顏色分析參數(shù)：顏色類或群的根長、投影面積、表面積、平均直徑、體積、根尖計等。
根系連接分析參數(shù)：用于根系分支角度、連通性等形態(tài)研究
根系拓撲分析參數(shù)：連接數(shù)量、路徑長度等研究（需要根系完整）
根系分級伸展分析參數(shù)：記錄根系整體等級分布情況（需要根系完整）
圖像中獨立單個樣品分析：單個樣品分別的形態(tài)、連接、拓撲、分級伸展分析。
—— 應(yīng)用領(lǐng)域 ——
功能強大，操作簡單，廣泛應(yīng)用于植物生理學(xué)、植物生態(tài)學(xué)、植物營養(yǎng)學(xué)、農(nóng)學(xué)、園藝學(xué)、林學(xué)等領(lǐng)域的根系形態(tài)和構(gòu)造研究。
種子分類
幼苗生長定量
葉片顏色分析（病理）
根系形態(tài)分析
菌根定量分析
—— 應(yīng)用文獻節(jié)選 ——
原始數(shù)據(jù)來源：Google Scholar
1. L. Zhu et al., Fine root nutrient foraging ability in relation to carbon availability along a chronosequence of Chinese fir plantations. Forest Ecology and Management 507, 120003 (2022).
2. X. Zhang et al., Effect of exogenous abscisic acid (ABA) on the morphology, phytohormones, and related gene expression of developing lateral roots in ‘Qingzhen 1’apple plants. Plant Cell, Tissue and Organ Culture (PCTOC) 148, 23-34 (2022).
3. M. Vidak, B. Lazarević, M. Nekić, Z. Šatović, K. Carović-Stanko, Effect of Hormonal Priming and Osmopriming on Germination of Winter Savory (Satureja montana L.) Natural Population under Drought Stress. Agronomy 12, 1288 (2022).
4. P. Tripathi, Y. Kim, Investigation of root phenotype in soybeans (Glycine max L.) using imagery data. Journal of Crop Science and Biotechnology 25, 233-241 (2022).
5. J. K. Tiwari et al., Aeroponic evaluation identifies variation in Indian potato varieties for root morphology, nitrogen use efficiency parameters and yield traits. Journal of Plant Nutrition, 1-14 (2022).
6. R. Tayade et al., High-Throughput Root Imaging Analysis Reveals Wide Variation in Root Morphology of Wild Adzuki bean (Vigna angularis) Accessions. Plants 11, 405 (2022).
7. M. Sell et al., Responses of fine root exudation, respiration and morphology in three early successional tree species to increased air humidity and different soil nitrogen sources. Tree Physiology 42, 557-569 (2022).
8. J.-T. Lee et al., Root Traits and Erosion Resistance of Three Endemic Grasses for Estuarine Sand Drift Control. Sustainability 14, 4672 (2022).
9. X. Jia et al., Root anatomical phenotypes related to growth under low nitrogen availability in maize (Zea mays L.) hybrids. Plant and Soil, 1-12 (2022).
10. H. Fang et al., Image-based root phenotyping for field-grown crops: An example under maize/soybean intercropping. Journal of Integrative Agriculture 21, 1606-1619 (2022).
1. L. Zhu et al., Fine root nutrient foraging ability in relation to carbon availability along a chronosequence of Chinese fir plantations. Forest Ecology and Management 507, 120003 (2022).
2. X. Zhang et al., Effect of exogenous abscisic acid (ABA) on the morphology, phytohormones, and related gene expression of developing lateral roots in ‘Qingzhen 1’apple plants. Plant Cell, Tissue and Organ Culture (PCTOC) 148, 23-34 (2022).
3. M. Vidak, B. Lazarević, M. Nekić, Z. Šatović, K. Carović-Stanko, Effect of Hormonal Priming and Osmopriming on Germination of Winter Savory (Satureja montana L.) Natural Population under Drought Stress. Agronomy 12, 1288 (2022).
4. P. Tripathi, Y. Kim, Investigation of root phenotype in soybeans (Glycine max L.) using imagery data. Journal of Crop Science and Biotechnology 25, 233-241 (2022).
5. J. K. Tiwari et al., Aeroponic evaluation identifies variation in Indian potato varieties for root morphology, nitrogen use efficiency parameters and yield traits. Journal of Plant Nutrition, 1-14 (2022).
6. R. Tayade et al., High-Throughput Root Imaging Analysis Reveals Wide Variation in Root Morphology of Wild Adzuki bean (Vigna angularis) Accessions. Plants 11, 405 (2022).
7. M. Sell et al., Responses of fine root exudation, respiration and morphology in three early successional tree species to increased air humidity and different soil nitrogen sources. Tree Physiology 42, 557-569 (2022).
8. J.-T. Lee et al., Root Traits and Erosion Resistance of Three Endemic Grasses for Estuarine Sand Drift Control. Sustainability 14, 4672 (2022).
9. X. Jia et al., Root anatomical phenotypes related to growth under low nitrogen availability in maize (Zea mays L.) hybrids. Plant and Soil, 1-12 (2022).
10. H. Fang et al., Image-based root phenotyping for field-grown crops: An example under maize/soybean intercropping. Journal of Integrative Agriculture 21, 1606-1619 (2022).
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