Forecasting the field performance of Austrian pine seedlings using morphological attributes
Abstract
This study examined whether the morphological attributes of Austrian pine (Pinus nigra ssp. nigra var. nigra Arnold) seedlings measured in the nursery could be used to forecast subsequent field performance over an extended time frame. Seedlings from three seed sources were produced in two types of containers and in bareroot seedbeds. These seedlings were measured for an array of morphological attributes (height, HT; root collar diameter, RCD; shoot height/diameter ratio, HD; shoot and root dry weight, SDW and RDW, respectively; shoot: root ratio, S: R; number of the first order lateral roots, FOLR; and Dickson quality index, DQI) and then planted at two sample plots with different soil depth. Seedling attributes were tested against field survival and growth in the first three years and growth in the twelfth year for their ability to forecast field performance. Correlations between morphological attributes and field performance were stronger for the plot with shallower soil, having pote...ntially drier conditions. HT, HD, and S: R were the best attributes for forecasting seedling survival. HD was the most reliable attribute to forecast growth during the first three years after planting, defining the largest proportion of variation for growth (r(2)= 0.36 to 0.86). Morphological attributes were better able to forecast field performance in the first three years at the shallow soil site, with FOLR the best single morphological variable. HT, DIA, and RDW were the best attributes to forecast growth during the first three years after planting on both sites. Morphological attributes were not able to forecast growth 12 years after planting.
Keywords:
Seedling Quality / Seedling Performance / Reforestation / Pinus nigraSource:
Iforest-Biogeosciences and Forestry, 2017, 10, 99-107
DOI: 10.3832/ifor1722-009
ISSN: 1971-7458
WoS: 000395862000014
Scopus: 2-s2.0-85011802411
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Institution/Community
Šumarski fakultetTY - JOUR AU - Ivetić, Vladan AU - Grossnickle, Steven AU - Škorić, Mirko PY - 2017 UR - https://omorika.sfb.bg.ac.rs/handle/123456789/873 AB - This study examined whether the morphological attributes of Austrian pine (Pinus nigra ssp. nigra var. nigra Arnold) seedlings measured in the nursery could be used to forecast subsequent field performance over an extended time frame. Seedlings from three seed sources were produced in two types of containers and in bareroot seedbeds. These seedlings were measured for an array of morphological attributes (height, HT; root collar diameter, RCD; shoot height/diameter ratio, HD; shoot and root dry weight, SDW and RDW, respectively; shoot: root ratio, S: R; number of the first order lateral roots, FOLR; and Dickson quality index, DQI) and then planted at two sample plots with different soil depth. Seedling attributes were tested against field survival and growth in the first three years and growth in the twelfth year for their ability to forecast field performance. Correlations between morphological attributes and field performance were stronger for the plot with shallower soil, having potentially drier conditions. HT, HD, and S: R were the best attributes for forecasting seedling survival. HD was the most reliable attribute to forecast growth during the first three years after planting, defining the largest proportion of variation for growth (r(2)= 0.36 to 0.86). Morphological attributes were better able to forecast field performance in the first three years at the shallow soil site, with FOLR the best single morphological variable. HT, DIA, and RDW were the best attributes to forecast growth during the first three years after planting on both sites. Morphological attributes were not able to forecast growth 12 years after planting. T2 - Iforest-Biogeosciences and Forestry T1 - Forecasting the field performance of Austrian pine seedlings using morphological attributes EP - 107 SP - 99 VL - 10 DO - 10.3832/ifor1722-009 UR - conv_1251 ER -
@article{ author = "Ivetić, Vladan and Grossnickle, Steven and Škorić, Mirko", year = "2017", abstract = "This study examined whether the morphological attributes of Austrian pine (Pinus nigra ssp. nigra var. nigra Arnold) seedlings measured in the nursery could be used to forecast subsequent field performance over an extended time frame. Seedlings from three seed sources were produced in two types of containers and in bareroot seedbeds. These seedlings were measured for an array of morphological attributes (height, HT; root collar diameter, RCD; shoot height/diameter ratio, HD; shoot and root dry weight, SDW and RDW, respectively; shoot: root ratio, S: R; number of the first order lateral roots, FOLR; and Dickson quality index, DQI) and then planted at two sample plots with different soil depth. Seedling attributes were tested against field survival and growth in the first three years and growth in the twelfth year for their ability to forecast field performance. Correlations between morphological attributes and field performance were stronger for the plot with shallower soil, having potentially drier conditions. HT, HD, and S: R were the best attributes for forecasting seedling survival. HD was the most reliable attribute to forecast growth during the first three years after planting, defining the largest proportion of variation for growth (r(2)= 0.36 to 0.86). Morphological attributes were better able to forecast field performance in the first three years at the shallow soil site, with FOLR the best single morphological variable. HT, DIA, and RDW were the best attributes to forecast growth during the first three years after planting on both sites. Morphological attributes were not able to forecast growth 12 years after planting.", journal = "Iforest-Biogeosciences and Forestry", title = "Forecasting the field performance of Austrian pine seedlings using morphological attributes", pages = "107-99", volume = "10", doi = "10.3832/ifor1722-009", url = "conv_1251" }
Ivetić, V., Grossnickle, S.,& Škorić, M.. (2017). Forecasting the field performance of Austrian pine seedlings using morphological attributes. in Iforest-Biogeosciences and Forestry, 10, 99-107. https://doi.org/10.3832/ifor1722-009 conv_1251
Ivetić V, Grossnickle S, Škorić M. Forecasting the field performance of Austrian pine seedlings using morphological attributes. in Iforest-Biogeosciences and Forestry. 2017;10:99-107. doi:10.3832/ifor1722-009 conv_1251 .
Ivetić, Vladan, Grossnickle, Steven, Škorić, Mirko, "Forecasting the field performance of Austrian pine seedlings using morphological attributes" in Iforest-Biogeosciences and Forestry, 10 (2017):99-107, https://doi.org/10.3832/ifor1722-009 ., conv_1251 .