"Evaluation of root system characteristics by measurement od electrical capacity and image analysis"@en . "https://mnet.mendelu.cz/mendelnet2010/mendelnet_2010_fulltext.pdf" . . "Hajzler, Martin" . "978-80-7375-453-2" . "3"^^ . "image analysis; moisture condition; Root system size; electrical capacity"@en . "Hodnocen\u00ED ko\u0159enov\u00E9ho syst\u00E9mu metodou m\u011B\u0159en\u00ED elektrick\u00E9 kapacity a anal\u00FDzy obrazu" . "RIV/62156489:43210/10:00234830!RIV15-MSM-43210___" . . "43210" . "Hodnocen\u00ED ko\u0159enov\u00E9ho syst\u00E9mu metodou m\u011B\u0159en\u00ED elektrick\u00E9 kapacity a anal\u00FDzy obrazu" . . "The aim of this study is to compare a root system size (RSS) in different moisture conditions using two methods of measurement. The first method involves electrical capacity measurement of the root system, the second one image analysis of roots. A sample must be taken by special tube before analyzing. Consequently, the sample must be strain by grain size analysis to remove soil. A captured roots are selected, colored and scanned. Both these methods were used for evaluation of four varieties of spring barley grown in four moisture conditions. The first mentioned method showed that root system of stressed plants dies back earlier. An effect of root system size on above ground biomass wasn't a statistically proven (r = 0.56). When evaluating the second-mentioned method statistically significant relation between length and surface of the root system was found (r = 0.98**). Between length, surface of the root system and its electrical capacity, was discovered significant correlation (r = 0.72**, r = 0.63*)."@en . . . "RIV/62156489:43210/10:00234830" . "Hodnocen\u00ED ko\u0159enov\u00E9ho syst\u00E9mu metodou m\u011B\u0159en\u00ED elektrick\u00E9 kapacity a anal\u00FDzy obrazu"@cs . . . . "Hodnocen\u00ED ko\u0159enov\u00E9ho syst\u00E9mu metodou m\u011B\u0159en\u00ED elektrick\u00E9 kapacity a anal\u00FDzy obrazu"@cs . "Klime\u0161ov\u00E1, Jana" . "Evaluation of root system characteristics by measurement od electrical capacity and image analysis"@en . "8"^^ . "Brno" . . "2010-11-24+01:00"^^ . "261867" . "St\u0159eda, Tom\u00E1\u0161" . "Brno" . . "Mendelova zem\u011Bd\u011Blsk\u00E1 a lesnick\u00E1 univerzita v Brn\u011B" . "VKS je ovliv\u0148ov\u00E1na mnoha faktory, mezi kter\u00FDmi dominuje vliv prost\u0159ed\u00ED, ve kter\u00E9m se rostlina nach\u00E1z\u00ED (vlhkost p\u016Fdy, z\u00E1soba \u017Eivin v p\u016Fd\u011B a jejich dostupnost, teplota p\u016Fdy apod.). \u017D\u00E1dn\u00FD z v\u00FD\u0161e vyjmenovan\u00FDch faktor\u016F nen\u00ED v p\u0159irozen\u00FDch podm\u00EDnk\u00E1ch stabiln\u00ED. O to v\u011Bt\u0161\u00ED jsou n\u00E1roky na ko\u0159enov\u00FD syst\u00E9m. Rostlina se mus\u00ED b\u011Bhem vegetace vypo\u0159\u00E1dat s nedostatkem eventu\u00E1ln\u011B p\u0159ebytkem vody v p\u016Fd\u011B, nedostatkem vzduchu v ko\u0159enov\u00E9 z\u00F3n\u011B. Acuna (2007) uv\u00E1d\u00ED, \u017Ee p\u0159i vodn\u00EDm deficitu p\u0159est\u00E1vaj\u00ED ko\u0159eny rostouc\u00ED z odno\u017Eovac\u00EDho uzlu d\u0159\u00EDve r\u016Fst a p\u0159\u00EDjem vody zaji\u0161\u0165uj\u00ED z\u00E1rode\u010Dn\u00E9 ko\u0159eny. Rovn\u011B\u017E rozvrstven\u00ED \u017Eivin v p\u016Fdn\u00EDm profilu ud\u00E1v\u00E1 sm\u011Br r\u016Fstu ko\u0159en\u016F. A\u017E 80 % celkov\u00E9 d\u00E9lky ko\u0159enov\u00E9ho syst\u00E9mu je tvo\u0159ena jemn\u00FDmi ko\u0159eny a ko\u0159enov\u00FDmi vl\u00E1sky, kter\u00E9 jsou men\u0161\u00ED ne\u017E 0,30 mm (Costa et al.2001, Zobel, 2008). Hustota ko\u0159enov\u00E9ho vl\u00E1\u0161en\u00ED z\u00E1visl\u00E1 na p\u0159\u00EDtomnosti fosforu a dus\u00EDku (Foese, 1983). Mezi d\u016Fle\u017Eit\u00FD faktor ovliv\u0148uj\u00EDc\u00ED VKS pat\u0159\u00ED odr\u016Fdov\u00E1 variabilita (St\u0159eda, 2009). U p\u0161enice ozim\u00E9 \u010Din\u00ED dokonce 8-10 % (Chloupek, 2007). Byly proto vybr\u00E1ny a n\u00E1sledn\u011Bvyhodnoceny odr\u016Fdy je\u010Dmene jarn\u00EDho, u kter\u00FDch byl p\u0159edpoklad k rozd\u00EDln\u00FDm velikostem ko\u0159enov\u00E9ho syst\u00E9mu. Pro m\u011B\u0159en\u00ED VKS byly pro srovn\u00E1n\u00ED zvoleny dv\u011B metody. Metoda m\u011B\u0159en\u00ED VKS pomoc\u00ED elektrick\u00E9 kapacity zohled\u0148uje vliv ko\u0159enov\u00E9ho vl\u00E1\u0161en\u00ED a pouze \u017Eivou \u010D\u00E1st ko\u0159en\u016F. Metoda anal\u00FDzy digit\u00E1ln\u00EDho obrazu (pova\u017Eov\u00E1na zpravidla za referen\u010Dn\u00ED metodu) zachycuje parametry ko\u0159enov\u00E9ho syst\u00E9mu bez ko\u0159enov\u00FDch vl\u00E1sk\u016F." . . "[7D14E7BD272B]" . "MendelNet 2010 - Proceedings of International Ph.D. Students Conference" . . "S" . . . . "VKS je ovliv\u0148ov\u00E1na mnoha faktory, mezi kter\u00FDmi dominuje vliv prost\u0159ed\u00ED, ve kter\u00E9m se rostlina nach\u00E1z\u00ED (vlhkost p\u016Fdy, z\u00E1soba \u017Eivin v p\u016Fd\u011B a jejich dostupnost, teplota p\u016Fdy apod.). \u017D\u00E1dn\u00FD z v\u00FD\u0161e vyjmenovan\u00FDch faktor\u016F nen\u00ED v p\u0159irozen\u00FDch podm\u00EDnk\u00E1ch stabiln\u00ED. O to v\u011Bt\u0161\u00ED jsou n\u00E1roky na ko\u0159enov\u00FD syst\u00E9m. Rostlina se mus\u00ED b\u011Bhem vegetace vypo\u0159\u00E1dat s nedostatkem eventu\u00E1ln\u011B p\u0159ebytkem vody v p\u016Fd\u011B, nedostatkem vzduchu v ko\u0159enov\u00E9 z\u00F3n\u011B. Acuna (2007) uv\u00E1d\u00ED, \u017Ee p\u0159i vodn\u00EDm deficitu p\u0159est\u00E1vaj\u00ED ko\u0159eny rostouc\u00ED z odno\u017Eovac\u00EDho uzlu d\u0159\u00EDve r\u016Fst a p\u0159\u00EDjem vody zaji\u0161\u0165uj\u00ED z\u00E1rode\u010Dn\u00E9 ko\u0159eny. Rovn\u011B\u017E rozvrstven\u00ED \u017Eivin v p\u016Fdn\u00EDm profilu ud\u00E1v\u00E1 sm\u011Br r\u016Fstu ko\u0159en\u016F. A\u017E 80 % celkov\u00E9 d\u00E9lky ko\u0159enov\u00E9ho syst\u00E9mu je tvo\u0159ena jemn\u00FDmi ko\u0159eny a ko\u0159enov\u00FDmi vl\u00E1sky, kter\u00E9 jsou men\u0161\u00ED ne\u017E 0,30 mm (Costa et al.2001, Zobel, 2008). Hustota ko\u0159enov\u00E9ho vl\u00E1\u0161en\u00ED z\u00E1visl\u00E1 na p\u0159\u00EDtomnosti fosforu a dus\u00EDku (Foese, 1983). Mezi d\u016Fle\u017Eit\u00FD faktor ovliv\u0148uj\u00EDc\u00ED VKS pat\u0159\u00ED odr\u016Fdov\u00E1 variabilita (St\u0159eda, 2009). U p\u0161enice ozim\u00E9 \u010Din\u00ED dokonce 8-10 % (Chloupek, 2007). Byly proto vybr\u00E1ny a n\u00E1sledn\u011Bvyhodnoceny odr\u016Fdy je\u010Dmene jarn\u00EDho, u kter\u00FDch byl p\u0159edpoklad k rozd\u00EDln\u00FDm velikostem ko\u0159enov\u00E9ho syst\u00E9mu. Pro m\u011B\u0159en\u00ED VKS byly pro srovn\u00E1n\u00ED zvoleny dv\u011B metody. Metoda m\u011B\u0159en\u00ED VKS pomoc\u00ED elektrick\u00E9 kapacity zohled\u0148uje vliv ko\u0159enov\u00E9ho vl\u00E1\u0161en\u00ED a pouze \u017Eivou \u010D\u00E1st ko\u0159en\u016F. Metoda anal\u00FDzy digit\u00E1ln\u00EDho obrazu (pova\u017Eov\u00E1na zpravidla za referen\u010Dn\u00ED metodu) zachycuje parametry ko\u0159enov\u00E9ho syst\u00E9mu bez ko\u0159enov\u00FDch vl\u00E1sk\u016F."@cs . "341786800004" . "3"^^ . . . .